UCF Bachelor’s Thesis

Analysis of Coded Data

```{r message=FALSE, warning=FALSE}

Error: attempt to use zero-length variable name

Pilot

Importing the Atlas.ti dataset. (NB: I changed the document number for the second holding of Finogenov to make distinguishing easier)

library(readxl)

There were 24 warnings (use warnings() to see them)

Merging the observations spread out over multiple rows into one.

Getting summary statistics.

---

Tidying the Final Dataset

Importing the Excel coded cases dataset:

cases <- read_excel("case codings database.xlsx")

Error in read_excel("case codings database.xlsx") : 
  could not find function "read_excel"

Removing the explanation for each level, turning ordinal variables into ordinal factors, and the remaining ones into normal factors:

cases <- cases_raw %>% 
  select(gc_dec:l_train) %>% 
  mutate_all(list(~ str_replace(., "\\s=\\s.*", ""))) %>% 
  mutate(
    scrutiny = scrutiny     %>% as.numeric() %>% as.ordered(),
    f_prev = f_prev         %>% as.numeric() %>% as.ordered(),
    f_dispute = f_dispute   %>% as.numeric() %>% as.ordered(),
    uof_deaths = uof_deaths %>% as.numeric() %>% as.ordered(),
    t_who = t_who           %>% as.numeric() %>% as.ordered(),
    t_nature = t_nature     %>% as.numeric() %>% as.ordered(),
    uof_sa = uof_sa         %>% as.numeric() %>% as.ordered(),
    uof_nature = uof_nature %>% as.numeric() %>% as.ordered(),
    o_control = o_control   %>% as.numeric() %>% as.ordered()
  )  %>% 
  mutate_all(list(~ as_factor(.)))

cases <- cbind(select(cases_raw, ID:respondent), cases)

Collapsing Variables and Categories

IVcases <- cases %>% select(scrutiny:l_train) #Only want to analyze and reduce the IVs

Checking if there are any superfluous levels.

IVcases %>% sapply(table)
IVcases %>% sapply(table) %>% sapply(prop.table)

There are multiple methods possible to achieve this. Principally, these can be divided into factor analysis and principal component analysis (PCA). Both have variations that are compatible with categorical data. I pick PCA here because, conceptually, it focuses on reducing the number of dimensions (variables) while factor analysis is focused on uncovering latent factors. Within the realm of non-linear PCA, I picked multiple factor analysis (MFA) because it is well suited for grouped data (like in my case)

library(FactoMineR)
library(factoextra)


MFAcases <- MFA(IVcases, group = c(6, 14, 5, 11, 3), #Groups based on coding form
                type = rep("n", 5), 
                name.group = c("assessment", "exceptions", "force", "operation", "law"))

Using Chi-square and Cramer’s V to find relations of dependence between the cateogrical variables

Preparing for the Use of Decision Trees

Installing rtemis, a library for advanced machine learning, which used here for the additive trees.

install.packages("remotes")
remotes::install_github("egenn/rtemis")
install.packages(c("e1071", "gbm", "glmnet", "pbapply", "plyr", "ranger", "rpart", "data.tree", "DiagrammeR", "missRanger", "plotly", "DiagrammeRsvg", "rsvg")) #Additional dependencies

Importing the rtemis library.

library(rtemis)

Create the datasets for each of our four outcome variables. This involves putting the outcome variable as last column and recoding the factor such that the “positive” outcome (i.e. a violation) is the first level of the factor. Furthermore, the three other outcome variables are turned into binomial variables with one positive (violation) level and one negative (no violation, not related or uncertain) level.

cases.viol <- cases %>% 
  select(scrutiny:l_train, h_viol) %>% 
  mutate(h_viol = factor(h_viol, levels = c(1, 0)))
cases.force <- cases %>%   
  select(scrutiny:l_train, h_force) %>% 
  mutate(h_force = recode(h_force, `0` = 0, `1` = 0, `-88` = 0, `2`= 1)) %>% 
  mutate(h_force = factor(h_force, levels = c(1, 0)))
cases.op <- cases %>% 
  select(scrutiny:l_train, h_operation) %>% 
  mutate(h_operation = recode(h_operation, `0` = 0, `1` = 0, `-88` = 0, `2`= 1)) %>% 
  mutate(h_operation = factor(h_operation, levels = c(1, 0)))
cases.law <- cases %>% 
  select(scrutiny:l_train, h_law) %>% 
  mutate(h_law = recode(h_law, `0` = 0, `1` = 0, `-88` = 0, `2`= 1)) %>% 
  mutate(h_law = factor(h_law, levels = c(1, 0)))

Using Decision Trees

Model Selection and Assessment

Perform a nested cross-validation for hyperparameter tuning (model selection) and model assessment. A 10-fold cross-validation is performed to test model generalizability. Within each resample, another 10-fold cross-validation is performed to tune the gamma hyperparameter between four different options. In total, 1600 models are thus run.

cases.viol.tree <- elevate(cases.viol, mod = "addtree",

Warning message:
In readChar(file, size, TRUE) : truncating string with embedded nuls

                           resampler = "kfold", n.resamples = 10,
                           grid.resample.rtset = rtset.resample("kfold", 10),
                           gamma = c(0.1, 0.5, 0.9, 1.3),
                           learning.rate = 0.001,
                           seed = 2020)

[2020-06-29 03:19:42 elevate] Hello,  

[[ Classification Input Summary ]]
   Training features: 77 x 39 
    Training outcome: 77 x 1 

[2020-06-29 03:19:42 resLearn] Training Additive Tree on 10 independent folds... 

  |                                                  | 0 % ~calculating  [2020-06-29 03:19:42 FUN] Running grid line #1 of 40... 
[2020-06-29 03:19:42 s.ADDTREE] Hello,  

[2020-06-29 03:19:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:19:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   4  12

                   Overall  
      Sensitivity  0.9167 
      Specificity  1.0000 
Balanced Accuracy  0.9583 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9565 
         Accuracy  0.9333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:19:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:19:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:19:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:19:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:19:51 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 12.30; System: 0.77) 
[2020-06-29 03:19:51 FUN] Running grid line #2 of 40... 
[2020-06-29 03:19:51 s.ADDTREE] Hello,  

[2020-06-29 03:19:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:19:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:19:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:19:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:19:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:19:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:19:59 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.06; User: 12.02; System: 0.53) 
[2020-06-29 03:19:59 FUN] Running grid line #3 of 40... 
[2020-06-29 03:20:00 s.ADDTREE] Hello,  

[2020-06-29 03:20:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:20:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   7  13

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.6500 
               F1  0.9231 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:20:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:08 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.52; User: 12.75; System: 1.07) 
[2020-06-29 03:20:08 FUN] Running grid line #4 of 40... 
[2020-06-29 03:20:08 s.ADDTREE] Hello,  

[2020-06-29 03:20:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:20:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   6  12

                   Overall  
      Sensitivity  0.8750 
      Specificity  1.0000 
Balanced Accuracy  0.9375 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9333 
         Accuracy  0.9000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:20:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:16 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.66; User: 12.11; System: 0.35) 
[2020-06-29 03:20:16 FUN] Running grid line #5 of 40... 
[2020-06-29 03:20:16 s.ADDTREE] Hello,  

[2020-06-29 03:20:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:20:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:20:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:24 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.58; User: 11.61; System: 0.35) 
[2020-06-29 03:20:24 FUN] Running grid line #6 of 40... 
[2020-06-29 03:20:24 s.ADDTREE] Hello,  

[2020-06-29 03:20:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:20:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:20:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:31 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.12; User: 10.80; System: 0.45) 
[2020-06-29 03:20:31 FUN] Running grid line #7 of 40... 
[2020-06-29 03:20:31 s.ADDTREE] Hello,  

[2020-06-29 03:20:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:20:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   3  12

                   Overall  
      Sensitivity  0.9375 
      Specificity  1.0000 
Balanced Accuracy  0.9688 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9677 
         Accuracy  0.9500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:20:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:39 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.23; System: 0.38) 
[2020-06-29 03:20:39 FUN] Running grid line #8 of 40... 
[2020-06-29 03:20:39 s.ADDTREE] Hello,  

[2020-06-29 03:20:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:20:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:20:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:46 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.31; User: 11.61; System: 0.33) 
[2020-06-29 03:20:46 FUN] Running grid line #9 of 40... 
[2020-06-29 03:20:46 s.ADDTREE] Hello,  

[2020-06-29 03:20:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:20:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:20:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:20:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:20:54 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.92; User: 12.65; System: 0.50) 
[2020-06-29 03:20:54 FUN] Running grid line #10 of 40... 
[2020-06-29 03:20:54 s.ADDTREE] Hello,  

[2020-06-29 03:20:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:20:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   6  12

                   Overall  
      Sensitivity  0.8750 
      Specificity  1.0000 
Balanced Accuracy  0.9375 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9333 
         Accuracy  0.9000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:20:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:20:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:20:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:02 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.44; User: 11.54; System: 0.31) 
[2020-06-29 03:21:02 FUN] Running grid line #11 of 40... 
[2020-06-29 03:21:02 s.ADDTREE] Hello,  

[2020-06-29 03:21:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:21:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   2  12

                   Overall  
      Sensitivity  0.9583 
      Specificity  1.0000 
Balanced Accuracy  0.9792 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9787 
         Accuracy  0.9667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:21:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.83; User: 13.80; System: 0.44) 
[2020-06-29 03:21:11 FUN] Running grid line #12 of 40... 
[2020-06-29 03:21:11 s.ADDTREE] Hello,  

[2020-06-29 03:21:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:21:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:21:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:17 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:18 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 11.83; System: 0.48) 
[2020-06-29 03:21:18 FUN] Running grid line #13 of 40... 
[2020-06-29 03:21:18 s.ADDTREE] Hello,  

[2020-06-29 03:21:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:21:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:21:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:26 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.21; User: 10.98; System: 0.47) 
[2020-06-29 03:21:26 FUN] Running grid line #14 of 40... 
[2020-06-29 03:21:26 s.ADDTREE] Hello,  

[2020-06-29 03:21:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:21:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   5  12

                   Overall  
      Sensitivity  0.8958 
      Specificity  1.0000 
Balanced Accuracy  0.9479 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9451 
         Accuracy  0.9167 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:21:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:33 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:34 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.39; User: 13.19; System: 0.42) 
[2020-06-29 03:21:34 FUN] Running grid line #15 of 40... 
[2020-06-29 03:21:34 s.ADDTREE] Hello,  

[2020-06-29 03:21:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:21:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   6  13

                   Overall  
      Sensitivity  0.8776 
      Specificity  1.0000 
Balanced Accuracy  0.9388 
              PPV  1.0000 
              NPV  0.6842 
               F1  0.9348 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:21:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:41 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.33; User: 11.25; System: 0.49) 
[2020-06-29 03:21:42 FUN] Running grid line #16 of 40... 
[2020-06-29 03:21:42 s.ADDTREE] Hello,  

[2020-06-29 03:21:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:21:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:21:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:48 s.ADDTREE] Pruning tree... 

[2020-06-29 03:21:49 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.83; User: 12.58; System: 0.32) 
[2020-06-29 03:21:49 FUN] Running grid line #17 of 40... 
[2020-06-29 03:21:50 s.ADDTREE] Hello,  

[2020-06-29 03:21:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:21:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   1  12

                   Overall  
      Sensitivity  0.9792 
      Specificity  1.0000 
Balanced Accuracy  0.9896 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9895 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:21:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:21:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:21:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:21:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:00 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.83; User: 16.61; System: 0.63) 
[2020-06-29 03:22:00 FUN] Running grid line #18 of 40... 
[2020-06-29 03:22:00 s.ADDTREE] Hello,  

[2020-06-29 03:22:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:22:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:08 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.64; User: 11.64; System: 0.41) 
[2020-06-29 03:22:08 FUN] Running grid line #19 of 40... 
[2020-06-29 03:22:08 s.ADDTREE] Hello,  

[2020-06-29 03:22:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:22:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:17 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.78; User: 14.50; System: 0.51) 
[2020-06-29 03:22:17 FUN] Running grid line #20 of 40... 
[2020-06-29 03:22:17 s.ADDTREE] Hello,  

[2020-06-29 03:22:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:22:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   0  12

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:22:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:25 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:27 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.80; User: 16.32; System: 0.43) 
[2020-06-29 03:22:27 FUN] Running grid line #21 of 40... 
[2020-06-29 03:22:27 s.ADDTREE] Hello,  

[2020-06-29 03:22:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:22:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   1  12

                   Overall  
      Sensitivity  0.9792 
      Specificity  1.0000 
Balanced Accuracy  0.9896 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9895 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:22:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:32 s.ADDTREE] Run completed in 0.08 minutes (Real: 5; User: 6.98; System: 0.26) 
[2020-06-29 03:22:32 FUN] Running grid line #22 of 40... 
[2020-06-29 03:22:32 s.ADDTREE] Hello,  

[2020-06-29 03:22:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:22:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:37 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:38 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.54; User: 8.20; System: 0.33) 
[2020-06-29 03:22:38 FUN] Running grid line #23 of 40... 
[2020-06-29 03:22:38 s.ADDTREE] Hello,  

[2020-06-29 03:22:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:22:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:42 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.96; User: 5.14; System: 0.27) 
[2020-06-29 03:22:42 FUN] Running grid line #24 of 40... 
[2020-06-29 03:22:42 s.ADDTREE] Hello,  

[2020-06-29 03:22:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:22:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   1  12

                   Overall  
      Sensitivity  0.9792 
      Specificity  1.0000 
Balanced Accuracy  0.9896 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9895 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7500 
              NPV  NA     
               F1  0.8571 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:22:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:47 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:48 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.11; User: 8.83; System: 0.26) 
[2020-06-29 03:22:48 FUN] Running grid line #25 of 40... 
[2020-06-29 03:22:48 s.ADDTREE] Hello,  

[2020-06-29 03:22:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:22:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:53 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.35; User: 7.93; System: 0.25) 
[2020-06-29 03:22:54 FUN] Running grid line #26 of 40... 
[2020-06-29 03:22:54 s.ADDTREE] Hello,  

[2020-06-29 03:22:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:22:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:22:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:22:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:22:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:22:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:22:58 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.18; User: 5.72; System: 0.22) 
[2020-06-29 03:22:58 FUN] Running grid line #27 of 40... 
[2020-06-29 03:22:58 s.ADDTREE] Hello,  

[2020-06-29 03:22:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:22:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   1  12

                   Overall  
      Sensitivity  0.9792 
      Specificity  1.0000 
Balanced Accuracy  0.9896 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9895 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:23:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:02 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:03 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.41; User: 8; System: 0.27) 
[2020-06-29 03:23:03 FUN] Running grid line #28 of 40... 
[2020-06-29 03:23:03 s.ADDTREE] Hello,  

[2020-06-29 03:23:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  13

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9897 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:23:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:10 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.53; User: 9.80; System: 0.30) 
[2020-06-29 03:23:10 FUN] Running grid line #29 of 40... 
[2020-06-29 03:23:10 s.ADDTREE] Hello,  

[2020-06-29 03:23:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:23:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:15 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.22; User: 7.47; System: 0.50) 
[2020-06-29 03:23:15 FUN] Running grid line #30 of 40... 
[2020-06-29 03:23:15 s.ADDTREE] Hello,  

[2020-06-29 03:23:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:23:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   1  12

                   Overall  
      Sensitivity  0.9792 
      Specificity  1.0000 
Balanced Accuracy  0.9896 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9895 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:23:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:20 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.11; User: 7.45; System: 0.30) 
[2020-06-29 03:23:21 FUN] Running grid line #31 of 40... 
[2020-06-29 03:23:21 s.ADDTREE] Hello,  

[2020-06-29 03:23:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:23:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   0   0
                0  48  12

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2000 
               F1  NA     
         Accuracy  0.2000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:23:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:25 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.16; User: 5.56; System: 0.31) 
[2020-06-29 03:23:25 FUN] Running grid line #32 of 40... 
[2020-06-29 03:23:25 s.ADDTREE] Hello,  

[2020-06-29 03:23:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16   0
                0  33  13

                   Overall  
      Sensitivity  0.3265 
      Specificity  1.0000 
Balanced Accuracy  0.6633 
              PPV  1.0000 
              NPV  0.2826 
               F1  0.4923 
         Accuracy  0.4677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:23:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:28 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.38; User: 4.06; System: 0.33) 
[2020-06-29 03:23:28 FUN] Running grid line #33 of 40... 
[2020-06-29 03:23:28 s.ADDTREE] Hello,  

[2020-06-29 03:23:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  44  13

                   Overall  
      Sensitivity  0.1020 
      Specificity  1.0000 
Balanced Accuracy  0.5510 
              PPV  1.0000 
              NPV  0.2281 
               F1  0.1852 
         Accuracy  0.2903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:23:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:32 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.53; User: 4.29; System: 0.25) 
[2020-06-29 03:23:32 FUN] Running grid line #34 of 40... 
[2020-06-29 03:23:32 s.ADDTREE] Hello,  

[2020-06-29 03:23:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:23:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  42  12

                   Overall  
      Sensitivity  0.1250 
      Specificity  1.0000 
Balanced Accuracy  0.5625 
              PPV  1.0000 
              NPV  0.2222 
               F1  0.2222 
         Accuracy  0.3000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:23:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:36 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.39; User: 6.14; System: 0.29) 
[2020-06-29 03:23:37 FUN] Running grid line #35 of 40... 
[2020-06-29 03:23:37 s.ADDTREE] Hello,  

[2020-06-29 03:23:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   0
                0  36  13

                   Overall  
      Sensitivity  0.2653 
      Specificity  1.0000 
Balanced Accuracy  0.6327 
              PPV  1.0000 
              NPV  0.2653 
               F1  0.4194 
         Accuracy  0.4194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:23:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:41 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.81; User: 6.78; System: 0.31) 
[2020-06-29 03:23:41 FUN] Running grid line #36 of 40... 
[2020-06-29 03:23:42 s.ADDTREE] Hello,  

[2020-06-29 03:23:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19   0
                0  30  13

                   Overall  
      Sensitivity  0.3878 
      Specificity  1.0000 
Balanced Accuracy  0.6939 
              PPV  1.0000 
              NPV  0.3023 
               F1  0.5588 
         Accuracy  0.5161 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:23:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:46 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.64; User: 6.53; System: 0.40) 
[2020-06-29 03:23:46 FUN] Running grid line #37 of 40... 
[2020-06-29 03:23:46 s.ADDTREE] Hello,  

[2020-06-29 03:23:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:23:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18   0
                0  30  12

                   Overall  
      Sensitivity  0.3750 
      Specificity  1.0000 
Balanced Accuracy  0.6875 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.5455 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:23:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:51 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.56; User: 6.53; System: 0.33) 
[2020-06-29 03:23:51 FUN] Running grid line #38 of 40... 
[2020-06-29 03:23:51 s.ADDTREE] Hello,  

[2020-06-29 03:23:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19   0
                0  30  13

                   Overall  
      Sensitivity  0.3878 
      Specificity  1.0000 
Balanced Accuracy  0.6939 
              PPV  1.0000 
              NPV  0.3023 
               F1  0.5588 
         Accuracy  0.5161 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:23:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:54 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.36; User: 4.11; System: 0.24) 
[2020-06-29 03:23:54 FUN] Running grid line #39 of 40... 
[2020-06-29 03:23:54 s.ADDTREE] Hello,  

[2020-06-29 03:23:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:23:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:23:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:23:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:23:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:23:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:23:59 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.40; User: 6.12; System: 0.39) 
[2020-06-29 03:23:59 FUN] Running grid line #40 of 40... 
[2020-06-29 03:23:59 s.ADDTREE] Hello,  

[2020-06-29 03:23:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:23:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17   0
                0  31  12

                   Overall  
      Sensitivity  0.3542 
      Specificity  1.0000 
Balanced Accuracy  0.6771 
              PPV  1.0000 
              NPV  0.2791 
               F1  0.5231 
         Accuracy  0.4833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:24:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:03 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.43; User: 5.84; System: 0.28) 
[2020-06-29 03:24:09 FUN] Running grid line #1 of 40... 
[2020-06-29 03:24:09 s.ADDTREE] Hello,  

[2020-06-29 03:24:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:24:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:24:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:16 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:17 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.31; User: 12.70; System: 0.44) 
[2020-06-29 03:24:18 FUN] Running grid line #2 of 40... 
[2020-06-29 03:24:18 s.ADDTREE] Hello,  

[2020-06-29 03:24:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:24:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:24:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:25 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.74; User: 12.78; System: 0.45) 
[2020-06-29 03:24:25 FUN] Running grid line #3 of 40... 
[2020-06-29 03:24:25 s.ADDTREE] Hello,  

[2020-06-29 03:24:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:24:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.9231 
Balanced Accuracy  0.9309 
              PPV  0.9787 
              NPV  0.8000 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:24:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:33 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 12.99; System: 0.43) 
[2020-06-29 03:24:33 FUN] Running grid line #4 of 40... 
[2020-06-29 03:24:34 s.ADDTREE] Hello,  

[2020-06-29 03:24:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:24:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   4  11

                   Overall  
      Sensitivity  0.9200 
      Specificity  0.9167 
Balanced Accuracy  0.9183 
              PPV  0.9787 
              NPV  0.7333 
               F1  0.9485 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:24:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:39 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:40 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.30; User: 9.83; System: 0.38) 
[2020-06-29 03:24:40 FUN] Running grid line #5 of 40... 
[2020-06-29 03:24:40 s.ADDTREE] Hello,  

[2020-06-29 03:24:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:24:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:24:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.26; User: 11.79; System: 0.42) 
[2020-06-29 03:24:47 FUN] Running grid line #6 of 40... 
[2020-06-29 03:24:47 s.ADDTREE] Hello,  

[2020-06-29 03:24:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:24:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  13

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9474 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:24:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:24:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:24:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:24:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:24:55 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.94; User: 12.87; System: 0.42) 
[2020-06-29 03:24:55 FUN] Running grid line #7 of 40... 
[2020-06-29 03:24:55 s.ADDTREE] Hello,  

[2020-06-29 03:24:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:24:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:25:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:02 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:03 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.92; User: 12.90; System: 0.46) 
[2020-06-29 03:25:03 FUN] Running grid line #8 of 40... 
[2020-06-29 03:25:03 s.ADDTREE] Hello,  

[2020-06-29 03:25:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:25:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:25:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:10 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:11 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.53; User: 12.24; System: 0.48) 
[2020-06-29 03:25:11 FUN] Running grid line #9 of 40... 
[2020-06-29 03:25:11 s.ADDTREE] Hello,  

[2020-06-29 03:25:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:25:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:25:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:17 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:17 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.42; User: 10.04; System: 0.53) 
[2020-06-29 03:25:18 FUN] Running grid line #10 of 40... 
[2020-06-29 03:25:18 s.ADDTREE] Hello,  

[2020-06-29 03:25:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:25:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:25:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:23 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:25 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.89; User: 10.85; System: 0.39) 
[2020-06-29 03:25:25 FUN] Running grid line #11 of 40... 
[2020-06-29 03:25:25 s.ADDTREE] Hello,  

[2020-06-29 03:25:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:25:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   3  11

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.9167 
Balanced Accuracy  0.9277 
              PPV  0.9787 
              NPV  0.7857 
               F1  0.9583 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:25:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:31 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.87; User: 10.80; System: 0.38) 
[2020-06-29 03:25:32 FUN] Running grid line #12 of 40... 
[2020-06-29 03:25:32 s.ADDTREE] Hello,  

[2020-06-29 03:25:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:25:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:25:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:39 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 12.64; System: 0.39) 
[2020-06-29 03:25:39 FUN] Running grid line #13 of 40... 
[2020-06-29 03:25:39 s.ADDTREE] Hello,  

[2020-06-29 03:25:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:25:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:25:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:47 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:48 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.98; User: 14.97; System: 0.53) 
[2020-06-29 03:25:48 FUN] Running grid line #14 of 40... 
[2020-06-29 03:25:49 s.ADDTREE] Hello,  

[2020-06-29 03:25:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:25:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:25:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:25:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:25:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:25:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:25:56 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.09; User: 11.61; System: 0.40) 
[2020-06-29 03:25:56 FUN] Running grid line #15 of 40... 
[2020-06-29 03:25:56 s.ADDTREE] Hello,  

[2020-06-29 03:25:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:25:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:26:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:03 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.94; User: 11.08; System: 0.44) 
[2020-06-29 03:26:03 FUN] Running grid line #16 of 40... 
[2020-06-29 03:26:03 s.ADDTREE] Hello,  

[2020-06-29 03:26:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:26:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  13

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9474 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:26:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:14 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.86; User: 17.61; System: 0.53) 
[2020-06-29 03:26:14 FUN] Running grid line #17 of 40... 
[2020-06-29 03:26:14 s.ADDTREE] Hello,  

[2020-06-29 03:26:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:26:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:26:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:22 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.39; User: 13.78; System: 0.44) 
[2020-06-29 03:26:22 FUN] Running grid line #18 of 40... 
[2020-06-29 03:26:22 s.ADDTREE] Hello,  

[2020-06-29 03:26:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:26:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:26:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:31 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.12; User: 15.52; System: 0.40) 
[2020-06-29 03:26:32 FUN] Running grid line #19 of 40... 
[2020-06-29 03:26:32 s.ADDTREE] Hello,  

[2020-06-29 03:26:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:26:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:26:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:39 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.76; System: 0.37) 
[2020-06-29 03:26:39 FUN] Running grid line #20 of 40... 
[2020-06-29 03:26:39 s.ADDTREE] Hello,  

[2020-06-29 03:26:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:26:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:26:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:47 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.51; User: 12.19; System: 0.49) 
[2020-06-29 03:26:47 FUN] Running grid line #21 of 40... 
[2020-06-29 03:26:47 s.ADDTREE] Hello,  

[2020-06-29 03:26:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:26:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:26:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:52 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:53 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.50; User: 8.17; System: 0.42) 
[2020-06-29 03:26:53 FUN] Running grid line #22 of 40... 
[2020-06-29 03:26:53 s.ADDTREE] Hello,  

[2020-06-29 03:26:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:26:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:26:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:26:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:26:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:26:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:26:59 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.09; User: 9.05; System: 0.34) 
[2020-06-29 03:26:59 FUN] Running grid line #23 of 40... 
[2020-06-29 03:26:59 s.ADDTREE] Hello,  

[2020-06-29 03:26:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:26:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  41   0
                0   8  13

                   Overall  
      Sensitivity  0.8367 
      Specificity  1.0000 
Balanced Accuracy  0.9184 
              PPV  1.0000 
              NPV  0.6190 
               F1  0.9111 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 03:27:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:03 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.45; User: 6.27; System: 0.22) 
[2020-06-29 03:27:03 FUN] Running grid line #24 of 40... 
[2020-06-29 03:27:03 s.ADDTREE] Hello,  

[2020-06-29 03:27:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:27:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  2

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:27:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:09 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.86; User: 8.88; System: 0.25) 
[2020-06-29 03:27:09 FUN] Running grid line #25 of 40... 
[2020-06-29 03:27:09 s.ADDTREE] Hello,  

[2020-06-29 03:27:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:27:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:27:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:16 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.26; User: 9.16; System: 0.42) 
[2020-06-29 03:27:16 FUN] Running grid line #26 of 40... 
[2020-06-29 03:27:16 s.ADDTREE] Hello,  

[2020-06-29 03:27:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:27:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  41   0
                0   9  13

                   Overall  
      Sensitivity  0.8200 
      Specificity  1.0000 
Balanced Accuracy  0.9100 
              PPV  1.0000 
              NPV  0.5909 
               F1  0.9011 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:27:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:21 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.64; User: 7.32; System: 0.24) 
[2020-06-29 03:27:21 FUN] Running grid line #27 of 40... 
[2020-06-29 03:27:22 s.ADDTREE] Hello,  

[2020-06-29 03:27:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:27:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:27:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:27 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.11; User: 6.50; System: 0.22) 
[2020-06-29 03:27:27 FUN] Running grid line #28 of 40... 
[2020-06-29 03:27:27 s.ADDTREE] Hello,  

[2020-06-29 03:27:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:27:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:27:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:33 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.42; User: 8.44; System: 0.48) 
[2020-06-29 03:27:33 FUN] Running grid line #29 of 40... 
[2020-06-29 03:27:33 s.ADDTREE] Hello,  

[2020-06-29 03:27:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:27:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:27:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:39 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.85; User: 8.20; System: 0.41) 
[2020-06-29 03:27:39 FUN] Running grid line #30 of 40... 
[2020-06-29 03:27:39 s.ADDTREE] Hello,  

[2020-06-29 03:27:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:27:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:27:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:45 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.72; User: 6.89; System: 0.36) 
[2020-06-29 03:27:45 FUN] Running grid line #31 of 40... 
[2020-06-29 03:27:45 s.ADDTREE] Hello,  

[2020-06-29 03:27:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:27:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  40  12

                   Overall  
      Sensitivity  0.1837 
      Specificity  1.0000 
Balanced Accuracy  0.5918 
              PPV  1.0000 
              NPV  0.2308 
               F1  0.3103 
         Accuracy  0.3443 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:27:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:50 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.63; User: 5.44; System: 0.31) 
[2020-06-29 03:27:50 FUN] Running grid line #32 of 40... 
[2020-06-29 03:27:50 s.ADDTREE] Hello,  

[2020-06-29 03:27:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:27:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0  40  13

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2453 
               F1  0.3333 
         Accuracy  0.3651 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:27:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:27:54 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.52; User: 5.33; System: 0.41) 
[2020-06-29 03:27:54 FUN] Running grid line #33 of 40... 
[2020-06-29 03:27:55 s.ADDTREE] Hello,  

[2020-06-29 03:27:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:27:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   0
                0  46  13

                   Overall  
      Sensitivity  0.0612 
      Specificity  1.0000 
Balanced Accuracy  0.5306 
              PPV  1.0000 
              NPV  0.2203 
               F1  0.1154 
         Accuracy  0.2581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  1

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.1667 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:27:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:27:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:27:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:27:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:00 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.17; User: 6.81; System: 0.49) 
[2020-06-29 03:28:00 FUN] Running grid line #34 of 40... 
[2020-06-29 03:28:00 s.ADDTREE] Hello,  

[2020-06-29 03:28:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:28:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0  38  12

                   Overall  
      Sensitivity  0.2400 
      Specificity  1.0000 
Balanced Accuracy  0.6200 
              PPV  1.0000 
              NPV  0.2400 
               F1  0.3871 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2857 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:28:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:04 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:05 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.67; User: 5.30; System: 0.46) 
[2020-06-29 03:28:05 FUN] Running grid line #35 of 40... 
[2020-06-29 03:28:05 s.ADDTREE] Hello,  

[2020-06-29 03:28:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:28:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  13

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.2807 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1429 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 03:28:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:08 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.78; User: 4.12; System: 0.19) 
[2020-06-29 03:28:08 FUN] Running grid line #36 of 40... 
[2020-06-29 03:28:09 s.ADDTREE] Hello,  

[2020-06-29 03:28:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:28:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   0
                0  47  13

                   Overall  
      Sensitivity  0.0600 
      Specificity  1.0000 
Balanced Accuracy  0.5300 
              PPV  1.0000 
              NPV  0.2167 
               F1  0.1132 
         Accuracy  0.2540 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:28:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:13 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:13 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.86; User: 6.17; System: 0.31) 
[2020-06-29 03:28:13 FUN] Running grid line #37 of 40... 
[2020-06-29 03:28:14 s.ADDTREE] Hello,  

[2020-06-29 03:28:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:28:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2   0
                0  48  12

                   Overall  
      Sensitivity  0.0400 
      Specificity  1.0000 
Balanced Accuracy  0.5200 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.0769 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:28:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:17 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:17 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.38; User: 3.97; System: 0.27) 
[2020-06-29 03:28:17 FUN] Running grid line #38 of 40... 
[2020-06-29 03:28:17 s.ADDTREE] Hello,  

[2020-06-29 03:28:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:28:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0  38  13

                   Overall  
      Sensitivity  0.2245 
      Specificity  1.0000 
Balanced Accuracy  0.6122 
              PPV  1.0000 
              NPV  0.2549 
               F1  0.3667 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  1

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.1667 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:28:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:21 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.06; User: 5.40; System: 0.39) 
[2020-06-29 03:28:21 FUN] Running grid line #39 of 40... 
[2020-06-29 03:28:21 s.ADDTREE] Hello,  

[2020-06-29 03:28:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:28:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  42  13

                   Overall  
      Sensitivity  0.1600 
      Specificity  1.0000 
Balanced Accuracy  0.5800 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2759 
         Accuracy  0.3333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:28:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:24 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.23; User: 4.02; System: 0.19) 
[2020-06-29 03:28:24 FUN] Running grid line #40 of 40... 
[2020-06-29 03:28:25 s.ADDTREE] Hello,  

[2020-06-29 03:28:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:28:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  44  12

                   Overall  
      Sensitivity  0.1020 
      Specificity  1.0000 
Balanced Accuracy  0.5510 
              PPV  1.0000 
              NPV  0.2143 
               F1  0.1852 
         Accuracy  0.2787 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:28:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:28 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.14; User: 3.73; System: 0.22) 
[2020-06-29 03:28:31 FUN] Running grid line #1 of 40... 
[2020-06-29 03:28:31 s.ADDTREE] Hello,  

[2020-06-29 03:28:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:28:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  13

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9897 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:28:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:39 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.31; User: 13.89; System: 0.34) 
[2020-06-29 03:28:39 FUN] Running grid line #2 of 40... 
[2020-06-29 03:28:39 s.ADDTREE] Hello,  

[2020-06-29 03:28:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:28:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:28:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.25; User: 11.83; System: 0.22) 
[2020-06-29 03:28:47 FUN] Running grid line #3 of 40... 
[2020-06-29 03:28:47 s.ADDTREE] Hello,  

[2020-06-29 03:28:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:28:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:28:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:52 s.ADDTREE] Pruning tree... 

[2020-06-29 03:28:53 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.14; User: 9.62; System: 0.41) 
[2020-06-29 03:28:53 FUN] Running grid line #4 of 40... 
[2020-06-29 03:28:53 s.ADDTREE] Hello,  

[2020-06-29 03:28:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:28:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:28:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:28:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:28:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:28:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:01 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.64; User: 12.48; System: 0.26) 
[2020-06-29 03:29:01 FUN] Running grid line #5 of 40... 
[2020-06-29 03:29:01 s.ADDTREE] Hello,  

[2020-06-29 03:29:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:29:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:29:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:06 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:07 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.85; User: 10.87; System: 0.45) 
[2020-06-29 03:29:08 FUN] Running grid line #6 of 40... 
[2020-06-29 03:29:08 s.ADDTREE] Hello,  

[2020-06-29 03:29:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:29:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:29:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:17 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.39; User: 15.36; System: 0.55) 
[2020-06-29 03:29:17 FUN] Running grid line #7 of 40... 
[2020-06-29 03:29:17 s.ADDTREE] Hello,  

[2020-06-29 03:29:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:29:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:29:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:25 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.24; System: 0.51) 
[2020-06-29 03:29:25 FUN] Running grid line #8 of 40... 
[2020-06-29 03:29:25 s.ADDTREE] Hello,  

[2020-06-29 03:29:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:29:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:29:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:33 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.91; User: 12.90; System: 0.47) 
[2020-06-29 03:29:33 FUN] Running grid line #9 of 40... 
[2020-06-29 03:29:33 s.ADDTREE] Hello,  

[2020-06-29 03:29:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:29:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:29:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:42 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.78; User: 14.28; System: 0.55) 
[2020-06-29 03:29:42 FUN] Running grid line #10 of 40... 
[2020-06-29 03:29:42 s.ADDTREE] Hello,  

[2020-06-29 03:29:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:29:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:29:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:50 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.55; User: 12.04; System: 0.39) 
[2020-06-29 03:29:50 FUN] Running grid line #11 of 40... 
[2020-06-29 03:29:50 s.ADDTREE] Hello,  

[2020-06-29 03:29:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:29:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   0  13

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:29:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:29:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:29:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:29:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:29:58 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.52; User: 14.15; System: 0.44) 
[2020-06-29 03:29:59 FUN] Running grid line #12 of 40... 
[2020-06-29 03:29:59 s.ADDTREE] Hello,  

[2020-06-29 03:29:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:29:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:30:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:05 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:07 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.64; User: 14.09; System: 0.54) 
[2020-06-29 03:30:07 FUN] Running grid line #13 of 40... 
[2020-06-29 03:30:07 s.ADDTREE] Hello,  

[2020-06-29 03:30:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:30:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:30:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:13 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:14 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.89; User: 11; System: 0.35) 
[2020-06-29 03:30:14 FUN] Running grid line #14 of 40... 
[2020-06-29 03:30:14 s.ADDTREE] Hello,  

[2020-06-29 03:30:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:30:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:30:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:22 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.15; User: 13.36; System: 0.34) 
[2020-06-29 03:30:23 FUN] Running grid line #15 of 40... 
[2020-06-29 03:30:23 s.ADDTREE] Hello,  

[2020-06-29 03:30:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:30:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:30:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:30 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.05; User: 11.32; System: 0.33) 
[2020-06-29 03:30:30 FUN] Running grid line #16 of 40... 
[2020-06-29 03:30:30 s.ADDTREE] Hello,  

[2020-06-29 03:30:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:30:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:30:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:37 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.95; User: 11.09; System: 0.29) 
[2020-06-29 03:30:37 FUN] Running grid line #17 of 40... 
[2020-06-29 03:30:37 s.ADDTREE] Hello,  

[2020-06-29 03:30:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:30:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:30:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:43 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:45 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.36; System: 0.49) 
[2020-06-29 03:30:45 FUN] Running grid line #18 of 40... 
[2020-06-29 03:30:45 s.ADDTREE] Hello,  

[2020-06-29 03:30:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:30:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:30:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:30:51 s.ADDTREE] Pruning tree... 

[2020-06-29 03:30:52 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.79; User: 12.72; System: 0.43) 
[2020-06-29 03:30:52 FUN] Running grid line #19 of 40... 
[2020-06-29 03:30:53 s.ADDTREE] Hello,  

[2020-06-29 03:30:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:30:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:30:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:30:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:30:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:01 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.76; User: 14.70; System: 0.49) 
[2020-06-29 03:31:01 FUN] Running grid line #20 of 40... 
[2020-06-29 03:31:01 s.ADDTREE] Hello,  

[2020-06-29 03:31:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:31:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:31:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:10 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.57; User: 14.27; System: 0.42) 
[2020-06-29 03:31:10 FUN] Running grid line #21 of 40... 
[2020-06-29 03:31:10 s.ADDTREE] Hello,  

[2020-06-29 03:31:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:31:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  13

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9897 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:31:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:15 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.57; User: 6.65; System: 0.28) 
[2020-06-29 03:31:15 FUN] Running grid line #22 of 40... 
[2020-06-29 03:31:15 s.ADDTREE] Hello,  

[2020-06-29 03:31:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:31:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  14

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:31:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:21 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.11; User: 9.55; System: 0.36) 
[2020-06-29 03:31:21 FUN] Running grid line #23 of 40... 
[2020-06-29 03:31:21 s.ADDTREE] Hello,  

[2020-06-29 03:31:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:31:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:31:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:25 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:26 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.83; User: 6.95; System: 0.42) 
[2020-06-29 03:31:26 FUN] Running grid line #24 of 40... 
[2020-06-29 03:31:26 s.ADDTREE] Hello,  

[2020-06-29 03:31:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:31:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  14

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:31:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:31 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.30; User: 7.71; System: 0.39) 
[2020-06-29 03:31:31 FUN] Running grid line #25 of 40... 
[2020-06-29 03:31:31 s.ADDTREE] Hello,  

[2020-06-29 03:31:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:31:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:31:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:37 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.17; User: 7.78; System: 0.33) 
[2020-06-29 03:31:37 FUN] Running grid line #26 of 40... 
[2020-06-29 03:31:37 s.ADDTREE] Hello,  

[2020-06-29 03:31:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:31:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:31:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:44 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.90; User: 11.22; System: 0.32) 
[2020-06-29 03:31:44 FUN] Running grid line #27 of 40... 
[2020-06-29 03:31:44 s.ADDTREE] Hello,  

[2020-06-29 03:31:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:31:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  14

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9899 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:31:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:51 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.73; User: 12.44; System: 0.45) 
[2020-06-29 03:31:51 FUN] Running grid line #28 of 40... 
[2020-06-29 03:31:51 s.ADDTREE] Hello,  

[2020-06-29 03:31:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:31:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  13

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9897 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:31:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:31:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:31:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:31:56 s.ADDTREE] Pruning tree... 

[2020-06-29 03:31:56 s.ADDTREE] Run completed in 0.08 minutes (Real: 5; User: 7.41; System: 0.36) 
[2020-06-29 03:31:57 FUN] Running grid line #29 of 40... 
[2020-06-29 03:31:57 s.ADDTREE] Hello,  

[2020-06-29 03:31:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:31:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:32:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:01 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.53; User: 6.33; System: 0.27) 
[2020-06-29 03:32:01 FUN] Running grid line #30 of 40... 
[2020-06-29 03:32:01 s.ADDTREE] Hello,  

[2020-06-29 03:32:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   1
                0   1  12

                   Overall  
      Sensitivity  0.9796 
      Specificity  0.9231 
Balanced Accuracy  0.9513 
              PPV  0.9796 
              NPV  0.9231 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:32:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:09 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 13.21; System: 0.52) 
[2020-06-29 03:32:09 FUN] Running grid line #31 of 40... 
[2020-06-29 03:32:09 s.ADDTREE] Hello,  

[2020-06-29 03:32:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  13

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.2807 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:32:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:13 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.26; User: 3.94; System: 0.25) 
[2020-06-29 03:32:13 FUN] Running grid line #32 of 40... 
[2020-06-29 03:32:13 s.ADDTREE] Hello,  

[2020-06-29 03:32:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:32:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16   0
                0  34  14

                   Overall  
      Sensitivity  0.3200 
      Specificity  1.0000 
Balanced Accuracy  0.6600 
              PPV  1.0000 
              NPV  0.2917 
               F1  0.4848 
         Accuracy  0.4688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:32:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:16 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:16 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.66; User: 4.58; System: 0.29) 
[2020-06-29 03:32:16 FUN] Running grid line #33 of 40... 
[2020-06-29 03:32:16 s.ADDTREE] Hello,  

[2020-06-29 03:32:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   0
                0  36  13

                   Overall  
      Sensitivity  0.2653 
      Specificity  1.0000 
Balanced Accuracy  0.6327 
              PPV  1.0000 
              NPV  0.2653 
               F1  0.4194 
         Accuracy  0.4194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:32:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:21 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.76; User: 5.48; System: 0.23) 
[2020-06-29 03:32:21 FUN] Running grid line #34 of 40... 
[2020-06-29 03:32:21 s.ADDTREE] Hello,  

[2020-06-29 03:32:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:32:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  42  14

                   Overall  
      Sensitivity  0.1600 
      Specificity  1.0000 
Balanced Accuracy  0.5800 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.2759 
         Accuracy  0.3438 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:32:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:25 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:25 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.45; User: 4.45; System: 0.17) 
[2020-06-29 03:32:25 FUN] Running grid line #35 of 40... 
[2020-06-29 03:32:25 s.ADDTREE] Hello,  

[2020-06-29 03:32:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0  
                1  11  6
                0  38  7

                   Overall  
      Sensitivity  0.2245 
      Specificity  0.5385 
Balanced Accuracy  0.3815 
              PPV  0.6471 
              NPV  0.1556 
               F1  0.3333 
         Accuracy  0.2903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  6  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 03:32:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:29 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:29 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.93; User: 5.34; System: 0.28) 
[2020-06-29 03:32:29 FUN] Running grid line #36 of 40... 
[2020-06-29 03:32:29 s.ADDTREE] Hello,  

[2020-06-29 03:32:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:32:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   1
                0  37  13

                   Overall  
      Sensitivity  0.2600 
      Specificity  0.9286 
Balanced Accuracy  0.5943 
              PPV  0.9286 
              NPV  0.2600 
               F1  0.4062 
         Accuracy  0.4062 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:32:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:33 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.55; User: 4.12; System: 0.25) 
[2020-06-29 03:32:33 FUN] Running grid line #37 of 40... 
[2020-06-29 03:32:33 s.ADDTREE] Hello,  

[2020-06-29 03:32:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:32:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0  39  14

                   Overall  
      Sensitivity  0.2200 
      Specificity  1.0000 
Balanced Accuracy  0.6100 
              PPV  1.0000 
              NPV  0.2642 
               F1  0.3607 
         Accuracy  0.3906 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:32:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:36 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.59; User: 4.63; System: 0.35) 
[2020-06-29 03:32:36 FUN] Running grid line #38 of 40... 
[2020-06-29 03:32:36 s.ADDTREE] Hello,  

[2020-06-29 03:32:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0  
                1  49  5
                0   0  8

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6154 
Balanced Accuracy  0.8077 
              PPV  0.9074 
              NPV  1.0000 
               F1  0.9515 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:32:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:39 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:39 s.ADDTREE] Run completed in 0.05 minutes (Real: 2.88; User: 3.19; System: 0.36) 
[2020-06-29 03:32:39 FUN] Running grid line #39 of 40... 
[2020-06-29 03:32:39 s.ADDTREE] Hello,  

[2020-06-29 03:32:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:32:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  44  14

                   Overall  
      Sensitivity  0.1200 
      Specificity  1.0000 
Balanced Accuracy  0.5600 
              PPV  1.0000 
              NPV  0.2414 
               F1  0.2143 
         Accuracy  0.3125 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:32:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:43 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:44 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.07; User: 5.56; System: 0.43) 
[2020-06-29 03:32:44 FUN] Running grid line #40 of 40... 
[2020-06-29 03:32:44 s.ADDTREE] Hello,  

[2020-06-29 03:32:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46  13
                0   3   0

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.0000 
Balanced Accuracy  0.4694 
              PPV  0.7797 
              NPV  0.0000 
               F1  0.8519 
         Accuracy  0.7419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7500 
              NPV  NA     
               F1  0.8571 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:32:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:32:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:32:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:32:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:32:51 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.07; User: 10.40; System: 0.48) 
[2020-06-29 03:32:56 FUN] Running grid line #1 of 40... 
[2020-06-29 03:32:56 s.ADDTREE] Hello,  

[2020-06-29 03:32:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:32:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:33:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:04 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.61; User: 12.19; System: 0.28) 
[2020-06-29 03:33:04 FUN] Running grid line #2 of 40... 
[2020-06-29 03:33:04 s.ADDTREE] Hello,  

[2020-06-29 03:33:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:33:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:33:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:10 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:11 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.42; User: 11.22; System: 0.38) 
[2020-06-29 03:33:12 FUN] Running grid line #3 of 40... 
[2020-06-29 03:33:12 s.ADDTREE] Hello,  

[2020-06-29 03:33:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:33:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:33:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:18 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:20 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 12.48; System: 0.48) 
[2020-06-29 03:33:20 FUN] Running grid line #4 of 40... 
[2020-06-29 03:33:20 s.ADDTREE] Hello,  

[2020-06-29 03:33:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:33:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:33:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:30 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.91; User: 13.93; System: 0.60) 
[2020-06-29 03:33:30 FUN] Running grid line #5 of 40... 
[2020-06-29 03:33:30 s.ADDTREE] Hello,  

[2020-06-29 03:33:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:33:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:33:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:43 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.18; User: 17.09; System: 0.53) 
[2020-06-29 03:33:43 FUN] Running grid line #6 of 40... 
[2020-06-29 03:33:43 s.ADDTREE] Hello,  

[2020-06-29 03:33:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:33:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:33:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:33:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:33:54 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.54; User: 13.84; System: 0.35) 
[2020-06-29 03:33:54 FUN] Running grid line #7 of 40... 
[2020-06-29 03:33:54 s.ADDTREE] Hello,  

[2020-06-29 03:33:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:33:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:33:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:33:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:33:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:01 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.83; User: 11.11; System: 0.33) 
[2020-06-29 03:34:01 FUN] Running grid line #8 of 40... 
[2020-06-29 03:34:01 s.ADDTREE] Hello,  

[2020-06-29 03:34:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:34:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:34:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:07 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.72; User: 10.91; System: 0.26) 
[2020-06-29 03:34:08 FUN] Running grid line #9 of 40... 
[2020-06-29 03:34:08 s.ADDTREE] Hello,  

[2020-06-29 03:34:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:34:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:34:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:13 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:14 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.84; User: 11.17; System: 0.30) 
[2020-06-29 03:34:14 FUN] Running grid line #10 of 40... 
[2020-06-29 03:34:15 s.ADDTREE] Hello,  

[2020-06-29 03:34:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:34:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:34:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:22 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.30; User: 11.56; System: 0.50) 
[2020-06-29 03:34:22 FUN] Running grid line #11 of 40... 
[2020-06-29 03:34:22 s.ADDTREE] Hello,  

[2020-06-29 03:34:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:34:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:34:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:29 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.53; User: 12.17; System: 0.30) 
[2020-06-29 03:34:30 FUN] Running grid line #12 of 40... 
[2020-06-29 03:34:30 s.ADDTREE] Hello,  

[2020-06-29 03:34:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:34:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:34:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:36 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.65; User: 10.33; System: 0.37) 
[2020-06-29 03:34:36 FUN] Running grid line #13 of 40... 
[2020-06-29 03:34:36 s.ADDTREE] Hello,  

[2020-06-29 03:34:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:34:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:34:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:44 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.36; User: 11.96; System: 0.38) 
[2020-06-29 03:34:44 FUN] Running grid line #14 of 40... 
[2020-06-29 03:34:44 s.ADDTREE] Hello,  

[2020-06-29 03:34:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:34:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:34:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:51 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.38; User: 11.97; System: 0.40) 
[2020-06-29 03:34:51 FUN] Running grid line #15 of 40... 
[2020-06-29 03:34:51 s.ADDTREE] Hello,  

[2020-06-29 03:34:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:34:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:34:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:34:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:34:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:34:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:34:59 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.04; User: 13.29; System: 0.39) 
[2020-06-29 03:34:59 FUN] Running grid line #16 of 40... 
[2020-06-29 03:34:59 s.ADDTREE] Hello,  

[2020-06-29 03:35:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:35:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:35:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:06 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:07 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.28; User: 11.88; System: 0.37) 
[2020-06-29 03:35:07 FUN] Running grid line #17 of 40... 
[2020-06-29 03:35:07 s.ADDTREE] Hello,  

[2020-06-29 03:35:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:35:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:35:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:13 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:14 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.33; User: 11.61; System: 0.41) 
[2020-06-29 03:35:14 FUN] Running grid line #18 of 40... 
[2020-06-29 03:35:14 s.ADDTREE] Hello,  

[2020-06-29 03:35:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:35:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:35:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:23 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.27; User: 13.78; System: 0.47) 
[2020-06-29 03:35:23 FUN] Running grid line #19 of 40... 
[2020-06-29 03:35:23 s.ADDTREE] Hello,  

[2020-06-29 03:35:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:35:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:35:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:30 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.88; User: 11.03; System: 0.36) 
[2020-06-29 03:35:30 FUN] Running grid line #20 of 40... 
[2020-06-29 03:35:30 s.ADDTREE] Hello,  

[2020-06-29 03:35:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:35:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:35:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:36 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.73; User: 10.75; System: 0.44) 
[2020-06-29 03:35:36 FUN] Running grid line #21 of 40... 
[2020-06-29 03:35:37 s.ADDTREE] Hello,  

[2020-06-29 03:35:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:35:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:35:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:41 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.66; User: 6.83; System: 0.22) 
[2020-06-29 03:35:41 FUN] Running grid line #22 of 40... 
[2020-06-29 03:35:41 s.ADDTREE] Hello,  

[2020-06-29 03:35:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:35:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:35:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:47 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.73; User: 8.86; System: 0.25) 
[2020-06-29 03:35:47 FUN] Running grid line #23 of 40... 
[2020-06-29 03:35:47 s.ADDTREE] Hello,  

[2020-06-29 03:35:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:35:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:35:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:51 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:52 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.68; User: 6.75; System: 0.35) 
[2020-06-29 03:35:52 FUN] Running grid line #24 of 40... 
[2020-06-29 03:35:52 s.ADDTREE] Hello,  

[2020-06-29 03:35:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:35:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:35:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:35:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:35:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:35:56 s.ADDTREE] Pruning tree... 

[2020-06-29 03:35:56 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.52; User: 6.27; System: 0.31) 
[2020-06-29 03:35:57 FUN] Running grid line #25 of 40... 
[2020-06-29 03:35:57 s.ADDTREE] Hello,  

[2020-06-29 03:35:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:35:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:36:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:01 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.78; User: 7.04; System: 0.39) 
[2020-06-29 03:36:01 FUN] Running grid line #26 of 40... 
[2020-06-29 03:36:01 s.ADDTREE] Hello,  

[2020-06-29 03:36:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:36:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:36:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:05 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:06 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.47; User: 6.58; System: 0.17) 
[2020-06-29 03:36:06 FUN] Running grid line #27 of 40... 
[2020-06-29 03:36:06 s.ADDTREE] Hello,  

[2020-06-29 03:36:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:36:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:11 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.33; User: 8.13; System: 0.27) 
[2020-06-29 03:36:11 FUN] Running grid line #28 of 40... 
[2020-06-29 03:36:11 s.ADDTREE] Hello,  

[2020-06-29 03:36:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:36:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:16 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:17 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.92; User: 9.31; System: 0.43) 
[2020-06-29 03:36:17 FUN] Running grid line #29 of 40... 
[2020-06-29 03:36:17 s.ADDTREE] Hello,  

[2020-06-29 03:36:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:36:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:36:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:22 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.60; User: 6.29; System: 0.18) 
[2020-06-29 03:36:22 FUN] Running grid line #30 of 40... 
[2020-06-29 03:36:22 s.ADDTREE] Hello,  

[2020-06-29 03:36:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:36:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:36:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:27 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.90; User: 7.25; System: 0.28) 
[2020-06-29 03:36:27 FUN] Running grid line #31 of 40... 
[2020-06-29 03:36:27 s.ADDTREE] Hello,  

[2020-06-29 03:36:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:36:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  12

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2264 
               F1  0.2807 
         Accuracy  0.3279 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:36:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:30 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.20; User: 3.75; System: 0.27) 
[2020-06-29 03:36:30 FUN] Running grid line #32 of 40... 
[2020-06-29 03:36:31 s.ADDTREE] Hello,  

[2020-06-29 03:36:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:36:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   0
                0  23  13

                   Overall  
      Sensitivity  0.5400 
      Specificity  1.0000 
Balanced Accuracy  0.7700 
              PPV  1.0000 
              NPV  0.3611 
               F1  0.7013 
         Accuracy  0.6349 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:36:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:34 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:34 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.80; User: 5.10; System: 0.26) 
[2020-06-29 03:36:34 FUN] Running grid line #33 of 40... 
[2020-06-29 03:36:34 s.ADDTREE] Hello,  

[2020-06-29 03:36:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 03:36:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:37 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:38 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.11; User: 3.83; System: 0.19) 
[2020-06-29 03:36:38 FUN] Running grid line #34 of 40... 
[2020-06-29 03:36:38 s.ADDTREE] Hello,  

[2020-06-29 03:36:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0  39  12

                   Overall  
      Sensitivity  0.2200 
      Specificity  1.0000 
Balanced Accuracy  0.6100 
              PPV  1.0000 
              NPV  0.2353 
               F1  0.3607 
         Accuracy  0.3710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2857 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:36:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:41 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.09; User: 3.67; System: 0.34) 
[2020-06-29 03:36:41 FUN] Running grid line #35 of 40... 
[2020-06-29 03:36:41 s.ADDTREE] Hello,  

[2020-06-29 03:36:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  40  13

                   Overall  
      Sensitivity  0.1837 
      Specificity  1.0000 
Balanced Accuracy  0.5918 
              PPV  1.0000 
              NPV  0.2453 
               F1  0.3103 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1429 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 03:36:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:44 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.14; User: 3.81; System: 0.32) 
[2020-06-29 03:36:44 FUN] Running grid line #36 of 40... 
[2020-06-29 03:36:44 s.ADDTREE] Hello,  

[2020-06-29 03:36:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:36:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   0
                0  49  13

                   Overall  
      Sensitivity  0.0200 
      Specificity  1.0000 
Balanced Accuracy  0.5100 
              PPV  1.0000 
              NPV  0.2097 
               F1  0.0392 
         Accuracy  0.2222 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:36:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:47 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:47 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.02; User: 3.58; System: 0.25) 
[2020-06-29 03:36:47 FUN] Running grid line #37 of 40... 
[2020-06-29 03:36:47 s.ADDTREE] Hello,  

[2020-06-29 03:36:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  42  12

                   Overall  
      Sensitivity  0.1600 
      Specificity  1.0000 
Balanced Accuracy  0.5800 
              PPV  1.0000 
              NPV  0.2222 
               F1  0.2759 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  2

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 03:36:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:50 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.12; User: 3.60; System: 0.31) 
[2020-06-29 03:36:50 FUN] Running grid line #38 of 40... 
[2020-06-29 03:36:51 s.ADDTREE] Hello,  

[2020-06-29 03:36:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:36:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  13

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.2807 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  1

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.1667 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:36:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:54 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.04; User: 3.61; System: 0.30) 
[2020-06-29 03:36:54 FUN] Running grid line #39 of 40... 
[2020-06-29 03:36:54 s.ADDTREE] Hello,  

[2020-06-29 03:36:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:36:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  41  13

                   Overall  
      Sensitivity  0.1800 
      Specificity  1.0000 
Balanced Accuracy  0.5900 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.3051 
         Accuracy  0.3492 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:36:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:36:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:36:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:36:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:36:57 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.15; User: 3.81; System: 0.25) 
[2020-06-29 03:36:57 FUN] Running grid line #40 of 40... 
[2020-06-29 03:36:57 s.ADDTREE] Hello,  

[2020-06-29 03:36:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:36:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  43  12

                   Overall  
      Sensitivity  0.1224 
      Specificity  1.0000 
Balanced Accuracy  0.5612 
              PPV  1.0000 
              NPV  0.2182 
               F1  0.2182 
         Accuracy  0.2951 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:37:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:37:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:37:00 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.33; User: 3.86; System: 0.33) 
[2020-06-29 03:37:04 FUN] Running grid line #1 of 40... 
[2020-06-29 03:37:04 s.ADDTREE] Hello,  

[2020-06-29 03:37:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:37:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:37:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:37:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:37:13 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.52; User: 13.80; System: 0.44) 
[2020-06-29 03:37:13 FUN] Running grid line #2 of 40... 
[2020-06-29 03:37:13 s.ADDTREE] Hello,  

[2020-06-29 03:37:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:37:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   1
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  0.9286 
Balanced Accuracy  0.9343 
              PPV  0.9792 
              NPV  0.8125 
               F1  0.9592 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:37:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:37:25 s.ADDTREE] Pruning tree... 

[2020-06-29 03:37:28 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.06; User: 19.27; System: 0.58) 
[2020-06-29 03:37:28 FUN] Running grid line #3 of 40... 
[2020-06-29 03:37:28 s.ADDTREE] Hello,  

[2020-06-29 03:37:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:37:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:37:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:37:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:37:44 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.25; User: 20.67; System: 0.61) 
[2020-06-29 03:37:44 FUN] Running grid line #4 of 40... 
[2020-06-29 03:37:44 s.ADDTREE] Hello,  

[2020-06-29 03:37:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:37:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   1
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  0.9286 
Balanced Accuracy  0.9443 
              PPV  0.9796 
              NPV  0.8667 
               F1  0.9697 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:37:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:37:51 s.ADDTREE] Pruning tree... 

[2020-06-29 03:37:52 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.39; User: 12.86; System: 0.38) 
[2020-06-29 03:37:52 FUN] Running grid line #5 of 40... 
[2020-06-29 03:37:52 s.ADDTREE] Hello,  

[2020-06-29 03:37:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:37:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:37:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:37:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:37:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:03 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.49; User: 15.90; System: 0.66) 
[2020-06-29 03:38:03 FUN] Running grid line #6 of 40... 
[2020-06-29 03:38:03 s.ADDTREE] Hello,  

[2020-06-29 03:38:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:38:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  14

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7368 
               F1  0.9474 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:38:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:15 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.28; User: 16.78; System: 0.65) 
[2020-06-29 03:38:15 FUN] Running grid line #7 of 40... 
[2020-06-29 03:38:15 s.ADDTREE] Hello,  

[2020-06-29 03:38:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:38:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  14

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7368 
               F1  0.9474 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:38:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:24 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.27; User: 12.09; System: 0.35) 
[2020-06-29 03:38:24 FUN] Running grid line #8 of 40... 
[2020-06-29 03:38:24 s.ADDTREE] Hello,  

[2020-06-29 03:38:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:38:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:38:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:33 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:34 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.29; User: 16.11; System: 0.45) 
[2020-06-29 03:38:34 FUN] Running grid line #9 of 40... 
[2020-06-29 03:38:34 s.ADDTREE] Hello,  

[2020-06-29 03:38:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:38:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:38:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:44 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.62; User: 14.94; System: 0.47) 
[2020-06-29 03:38:44 FUN] Running grid line #10 of 40... 
[2020-06-29 03:38:44 s.ADDTREE] Hello,  

[2020-06-29 03:38:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:38:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:38:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:51 s.ADDTREE] Pruning tree... 

[2020-06-29 03:38:52 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.97; User: 12.86; System: 0.36) 
[2020-06-29 03:38:52 FUN] Running grid line #11 of 40... 
[2020-06-29 03:38:52 s.ADDTREE] Hello,  

[2020-06-29 03:38:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:38:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:38:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:38:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:38:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:38:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:01 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.59; User: 14.08; System: 0.39) 
[2020-06-29 03:39:01 FUN] Running grid line #12 of 40... 
[2020-06-29 03:39:01 s.ADDTREE] Hello,  

[2020-06-29 03:39:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:39:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:39:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:10 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.08; User: 14.47; System: 0.49) 
[2020-06-29 03:39:10 FUN] Running grid line #13 of 40... 
[2020-06-29 03:39:10 s.ADDTREE] Hello,  

[2020-06-29 03:39:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:39:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:39:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:17 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:19 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.61; User: 14.44; System: 0.38) 
[2020-06-29 03:39:19 FUN] Running grid line #14 of 40... 
[2020-06-29 03:39:19 s.ADDTREE] Hello,  

[2020-06-29 03:39:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:39:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  14

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9899 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:39:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:28 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.36; User: 15.81; System: 0.30) 
[2020-06-29 03:39:28 FUN] Running grid line #15 of 40... 
[2020-06-29 03:39:28 s.ADDTREE] Hello,  

[2020-06-29 03:39:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:39:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0  15  13

                   Overall  
      Sensitivity  0.6939 
      Specificity  1.0000 
Balanced Accuracy  0.8469 
              PPV  1.0000 
              NPV  0.4643 
               F1  0.8193 
         Accuracy  0.7581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:39:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:34 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:36 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.46; User: 11.82; System: 0.32) 
[2020-06-29 03:39:36 FUN] Running grid line #16 of 40... 
[2020-06-29 03:39:36 s.ADDTREE] Hello,  

[2020-06-29 03:39:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:39:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  14

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7368 
               F1  0.9474 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:39:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:43 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.41; User: 11.95; System: 0.40) 
[2020-06-29 03:39:43 FUN] Running grid line #17 of 40... 
[2020-06-29 03:39:43 s.ADDTREE] Hello,  

[2020-06-29 03:39:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:39:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  14

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7368 
               F1  0.9474 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:39:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:39:51 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.30; User: 11.77; System: 0.34) 
[2020-06-29 03:39:51 FUN] Running grid line #18 of 40... 
[2020-06-29 03:39:51 s.ADDTREE] Hello,  

[2020-06-29 03:39:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:39:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:39:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:39:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:39:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:39:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:01 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.78; User: 16.61; System: 0.38) 
[2020-06-29 03:40:01 FUN] Running grid line #19 of 40... 
[2020-06-29 03:40:01 s.ADDTREE] Hello,  

[2020-06-29 03:40:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:40:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:40:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:10 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.69; User: 16.47; System: 0.40) 
[2020-06-29 03:40:10 FUN] Running grid line #20 of 40... 
[2020-06-29 03:40:10 s.ADDTREE] Hello,  

[2020-06-29 03:40:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:40:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:40:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:18 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:19 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.93; User: 14.44; System: 0.47) 
[2020-06-29 03:40:19 FUN] Running grid line #21 of 40... 
[2020-06-29 03:40:19 s.ADDTREE] Hello,  

[2020-06-29 03:40:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:40:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  2
                0  1  0

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.0000 
Balanced Accuracy  0.4167 
              PPV  0.7143 
              NPV  0.0000 
               F1  0.7692 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:40:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:25 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.35; User: 7.93; System: 0.35) 
[2020-06-29 03:40:25 FUN] Running grid line #22 of 40... 
[2020-06-29 03:40:25 s.ADDTREE] Hello,  

[2020-06-29 03:40:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:40:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:40:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:31 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.11; User: 9.28; System: 0.38) 
[2020-06-29 03:40:31 FUN] Running grid line #23 of 40... 
[2020-06-29 03:40:31 s.ADDTREE] Hello,  

[2020-06-29 03:40:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:40:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:40:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:37 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:39 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.62; User: 12.20; System: 0.39) 
[2020-06-29 03:40:39 FUN] Running grid line #24 of 40... 
[2020-06-29 03:40:39 s.ADDTREE] Hello,  

[2020-06-29 03:40:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:40:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:40:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:43 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:44 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.97; User: 7.14; System: 0.33) 
[2020-06-29 03:40:44 FUN] Running grid line #25 of 40... 
[2020-06-29 03:40:44 s.ADDTREE] Hello,  

[2020-06-29 03:40:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:40:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:40:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:50 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.61; User: 8.42; System: 0.33) 
[2020-06-29 03:40:50 FUN] Running grid line #26 of 40... 
[2020-06-29 03:40:50 s.ADDTREE] Hello,  

[2020-06-29 03:40:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:40:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:40:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:40:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:40:54 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.67; User: 6.62; System: 0.22) 
[2020-06-29 03:40:54 FUN] Running grid line #27 of 40... 
[2020-06-29 03:40:54 s.ADDTREE] Hello,  

[2020-06-29 03:40:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:40:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:40:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:40:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:40:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:01 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.20; User: 9.32; System: 0.34) 
[2020-06-29 03:41:01 FUN] Running grid line #28 of 40... 
[2020-06-29 03:41:01 s.ADDTREE] Hello,  

[2020-06-29 03:41:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:41:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:06 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:06 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.63; User: 8.32; System: 0.31) 
[2020-06-29 03:41:06 FUN] Running grid line #29 of 40... 
[2020-06-29 03:41:06 s.ADDTREE] Hello,  

[2020-06-29 03:41:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   1
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  0.9286 
Balanced Accuracy  0.9343 
              PPV  0.9792 
              NPV  0.8125 
               F1  0.9592 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:41:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:13 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.84; User: 10.84; System: 0.27) 
[2020-06-29 03:41:13 FUN] Running grid line #30 of 40... 
[2020-06-29 03:41:13 s.ADDTREE] Hello,  

[2020-06-29 03:41:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:41:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:18 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:18 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.08; User: 7.42; System: 0.39) 
[2020-06-29 03:41:19 FUN] Running grid line #31 of 40... 
[2020-06-29 03:41:19 s.ADDTREE] Hello,  

[2020-06-29 03:41:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:41:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:22 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.42; User: 4.46; System: 0.19) 
[2020-06-29 03:41:22 FUN] Running grid line #32 of 40... 
[2020-06-29 03:41:22 s.ADDTREE] Hello,  

[2020-06-29 03:41:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16   0
                0  34  14

                   Overall  
      Sensitivity  0.3200 
      Specificity  1.0000 
Balanced Accuracy  0.6600 
              PPV  1.0000 
              NPV  0.2917 
               F1  0.4848 
         Accuracy  0.4688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:41:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:26 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.30; User: 5.96; System: 0.39) 
[2020-06-29 03:41:26 FUN] Running grid line #33 of 40... 
[2020-06-29 03:41:26 s.ADDTREE] Hello,  

[2020-06-29 03:41:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0  37  13

                   Overall  
      Sensitivity  0.2449 
      Specificity  1.0000 
Balanced Accuracy  0.6224 
              PPV  1.0000 
              NPV  0.2600 
               F1  0.3934 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:41:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:31 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.93; User: 6.37; System: 0.38) 
[2020-06-29 03:41:32 FUN] Running grid line #34 of 40... 
[2020-06-29 03:41:32 s.ADDTREE] Hello,  

[2020-06-29 03:41:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   0
                0  46  14

                   Overall  
      Sensitivity  0.0800 
      Specificity  1.0000 
Balanced Accuracy  0.5400 
              PPV  1.0000 
              NPV  0.2333 
               F1  0.1481 
         Accuracy  0.2812 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:41:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:35 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.53; User: 4.42; System: 0.32) 
[2020-06-29 03:41:35 FUN] Running grid line #35 of 40... 
[2020-06-29 03:41:35 s.ADDTREE] Hello,  

[2020-06-29 03:41:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:41:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:39 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.42; User: 4.26; System: 0.19) 
[2020-06-29 03:41:39 FUN] Running grid line #36 of 40... 
[2020-06-29 03:41:39 s.ADDTREE] Hello,  

[2020-06-29 03:41:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  36  14

                   Overall  
      Sensitivity  0.2800 
      Specificity  1.0000 
Balanced Accuracy  0.6400 
              PPV  1.0000 
              NPV  0.2800 
               F1  0.4375 
         Accuracy  0.4375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:41:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:42 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.50; User: 4.47; System: 0.25) 
[2020-06-29 03:41:42 FUN] Running grid line #37 of 40... 
[2020-06-29 03:41:42 s.ADDTREE] Hello,  

[2020-06-29 03:41:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0  40  14

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2593 
               F1  0.3333 
         Accuracy  0.3750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:41:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:46 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.20; User: 3.96; System: 0.20) 
[2020-06-29 03:41:46 FUN] Running grid line #38 of 40... 
[2020-06-29 03:41:46 s.ADDTREE] Hello,  

[2020-06-29 03:41:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0  39  13

                   Overall  
      Sensitivity  0.2041 
      Specificity  1.0000 
Balanced Accuracy  0.6020 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.3390 
         Accuracy  0.3710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:41:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:50 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.59; User: 6.62; System: 0.30) 
[2020-06-29 03:41:50 FUN] Running grid line #39 of 40... 
[2020-06-29 03:41:50 s.ADDTREE] Hello,  

[2020-06-29 03:41:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:41:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  10
                0  28   4

                   Overall  
      Sensitivity  0.4400 
      Specificity  0.2857 
Balanced Accuracy  0.3629 
              PPV  0.6875 
              NPV  0.1250 
               F1  0.5366 
         Accuracy  0.4062 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:41:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:41:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:41:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:41:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:41:56 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.92; User: 8.98; System: 0.23) 
[2020-06-29 03:41:56 FUN] Running grid line #40 of 40... 
[2020-06-29 03:41:56 s.ADDTREE] Hello,  

[2020-06-29 03:41:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:41:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  35  13

                   Overall  
      Sensitivity  0.2857 
      Specificity  1.0000 
Balanced Accuracy  0.6429 
              PPV  1.0000 
              NPV  0.2708 
               F1  0.4444 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:41:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:01 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.53; User: 6.66; System: 0.27) 
[2020-06-29 03:42:06 FUN] Running grid line #1 of 40... 
[2020-06-29 03:42:06 s.ADDTREE] Hello,  

[2020-06-29 03:42:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:42:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:42:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:13 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.68; User: 10.69; System: 0.35) 
[2020-06-29 03:42:13 FUN] Running grid line #2 of 40... 
[2020-06-29 03:42:13 s.ADDTREE] Hello,  

[2020-06-29 03:42:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:42:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:42:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:21 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.77; User: 12.87; System: 0.31) 
[2020-06-29 03:42:21 FUN] Running grid line #3 of 40... 
[2020-06-29 03:42:21 s.ADDTREE] Hello,  

[2020-06-29 03:42:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:42:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:42:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:28 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.01; User: 11.34; System: 0.37) 
[2020-06-29 03:42:28 FUN] Running grid line #4 of 40... 
[2020-06-29 03:42:28 s.ADDTREE] Hello,  

[2020-06-29 03:42:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:42:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   1
                0   2  11

                   Overall  
      Sensitivity  0.9600 
      Specificity  0.9167 
Balanced Accuracy  0.9383 
              PPV  0.9796 
              NPV  0.8462 
               F1  0.9697 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:42:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:36 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.47; System: 0.39) 
[2020-06-29 03:42:36 FUN] Running grid line #5 of 40... 
[2020-06-29 03:42:36 s.ADDTREE] Hello,  

[2020-06-29 03:42:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:42:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:42:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:42 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:43 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.06; User: 11.38; System: 0.40) 
[2020-06-29 03:42:43 FUN] Running grid line #6 of 40... 
[2020-06-29 03:42:43 s.ADDTREE] Hello,  

[2020-06-29 03:42:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:42:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:42:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:50 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.54; User: 10.06; System: 0.28) 
[2020-06-29 03:42:50 FUN] Running grid line #7 of 40... 
[2020-06-29 03:42:50 s.ADDTREE] Hello,  

[2020-06-29 03:42:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:42:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:42:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:42:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:42:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:42:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:42:56 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.74; User: 10.64; System: 0.48) 
[2020-06-29 03:42:56 FUN] Running grid line #8 of 40... 
[2020-06-29 03:42:56 s.ADDTREE] Hello,  

[2020-06-29 03:42:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:42:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:43:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:02 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:04 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.10; User: 11.43; System: 0.39) 
[2020-06-29 03:43:04 FUN] Running grid line #9 of 40... 
[2020-06-29 03:43:04 s.ADDTREE] Hello,  

[2020-06-29 03:43:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:43:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:43:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:10 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.63; User: 10.46; System: 0.38) 
[2020-06-29 03:43:10 FUN] Running grid line #10 of 40... 
[2020-06-29 03:43:10 s.ADDTREE] Hello,  

[2020-06-29 03:43:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:43:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:43:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:16 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:17 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.08; User: 9.57; System: 0.36) 
[2020-06-29 03:43:17 FUN] Running grid line #11 of 40... 
[2020-06-29 03:43:17 s.ADDTREE] Hello,  

[2020-06-29 03:43:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:43:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:43:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:23 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:24 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.31; User: 11.78; System: 0.50) 
[2020-06-29 03:43:24 FUN] Running grid line #12 of 40... 
[2020-06-29 03:43:24 s.ADDTREE] Hello,  

[2020-06-29 03:43:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:43:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:43:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:32 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 13.42; System: 0.31) 
[2020-06-29 03:43:32 FUN] Running grid line #13 of 40... 
[2020-06-29 03:43:32 s.ADDTREE] Hello,  

[2020-06-29 03:43:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:43:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:43:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:40 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.27; User: 11.86; System: 0.31) 
[2020-06-29 03:43:40 FUN] Running grid line #14 of 40... 
[2020-06-29 03:43:40 s.ADDTREE] Hello,  

[2020-06-29 03:43:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:43:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  12

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9691 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.5000 
Balanced Accuracy  0.6500 
              PPV  0.8000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:43:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:48 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 13.21; System: 0.41) 
[2020-06-29 03:43:48 FUN] Running grid line #15 of 40... 
[2020-06-29 03:43:48 s.ADDTREE] Hello,  

[2020-06-29 03:43:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:43:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:43:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:43:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:43:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:43:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:43:56 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.19; User: 13.73; System: 0.35) 
[2020-06-29 03:43:56 FUN] Running grid line #16 of 40... 
[2020-06-29 03:43:56 s.ADDTREE] Hello,  

[2020-06-29 03:43:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:43:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:44:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:05 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 14.17; System: 0.39) 
[2020-06-29 03:44:05 FUN] Running grid line #17 of 40... 
[2020-06-29 03:44:05 s.ADDTREE] Hello,  

[2020-06-29 03:44:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:44:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:44:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:12 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.27; User: 11.78; System: 0.42) 
[2020-06-29 03:44:12 FUN] Running grid line #18 of 40... 
[2020-06-29 03:44:12 s.ADDTREE] Hello,  

[2020-06-29 03:44:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:44:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:44:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:18 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:19 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.40; User: 11.89; System: 0.44) 
[2020-06-29 03:44:20 FUN] Running grid line #19 of 40... 
[2020-06-29 03:44:20 s.ADDTREE] Hello,  

[2020-06-29 03:44:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:44:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:44:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:27 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.70; User: 12.03; System: 0.44) 
[2020-06-29 03:44:27 FUN] Running grid line #20 of 40... 
[2020-06-29 03:44:27 s.ADDTREE] Hello,  

[2020-06-29 03:44:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:44:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:44:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:33 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:35 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.27; User: 11.67; System: 0.31) 
[2020-06-29 03:44:35 FUN] Running grid line #21 of 40... 
[2020-06-29 03:44:35 s.ADDTREE] Hello,  

[2020-06-29 03:44:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:44:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   3  11

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.9167 
Balanced Accuracy  0.9277 
              PPV  0.9787 
              NPV  0.7857 
               F1  0.9583 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:44:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:41 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.65; User: 10.39; System: 0.41) 
[2020-06-29 03:44:41 FUN] Running grid line #22 of 40... 
[2020-06-29 03:44:42 s.ADDTREE] Hello,  

[2020-06-29 03:44:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:44:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:44:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:46 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:46 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.48; User: 6.40; System: 0.28) 
[2020-06-29 03:44:46 FUN] Running grid line #23 of 40... 
[2020-06-29 03:44:46 s.ADDTREE] Hello,  

[2020-06-29 03:44:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:44:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:44:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:51 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:52 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.35; User: 10.08; System: 0.37) 
[2020-06-29 03:44:53 FUN] Running grid line #24 of 40... 
[2020-06-29 03:44:53 s.ADDTREE] Hello,  

[2020-06-29 03:44:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:44:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  12

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9691 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.5000 
Balanced Accuracy  0.6500 
              PPV  0.8000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:44:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:44:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:44:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:44:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:44:57 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.90; User: 7.20; System: 0.21) 
[2020-06-29 03:44:58 FUN] Running grid line #25 of 40... 
[2020-06-29 03:44:58 s.ADDTREE] Hello,  

[2020-06-29 03:44:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:44:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:45:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:02 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:03 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.25; User: 7.88; System: 0.30) 
[2020-06-29 03:45:03 FUN] Running grid line #26 of 40... 
[2020-06-29 03:45:03 s.ADDTREE] Hello,  

[2020-06-29 03:45:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:45:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  13

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:45:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:08 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.79; User: 7.04; System: 0.22) 
[2020-06-29 03:45:08 FUN] Running grid line #27 of 40... 
[2020-06-29 03:45:08 s.ADDTREE] Hello,  

[2020-06-29 03:45:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  12

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9899 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  2

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:45:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:13 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.11; User: 7.64; System: 0.34) 
[2020-06-29 03:45:13 FUN] Running grid line #28 of 40... 
[2020-06-29 03:45:13 s.ADDTREE] Hello,  

[2020-06-29 03:45:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:45:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:17 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:18 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.94; User: 7.24; System: 0.36) 
[2020-06-29 03:45:18 FUN] Running grid line #29 of 40... 
[2020-06-29 03:45:18 s.ADDTREE] Hello,  

[2020-06-29 03:45:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:45:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:45:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:23 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.06; User: 7.53; System: 0.34) 
[2020-06-29 03:45:23 FUN] Running grid line #30 of 40... 
[2020-06-29 03:45:23 s.ADDTREE] Hello,  

[2020-06-29 03:45:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:45:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:45:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:28 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:29 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.86; User: 8.86; System: 0.41) 
[2020-06-29 03:45:29 FUN] Running grid line #31 of 40... 
[2020-06-29 03:45:29 s.ADDTREE] Hello,  

[2020-06-29 03:45:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:45:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  11
                0  35   1

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.0833 
Balanced Accuracy  0.1845 
              PPV  0.5600 
              NPV  0.0278 
               F1  0.3784 
         Accuracy  0.2459 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  2  0

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.0000 
Balanced Accuracy  0.3333 
              PPV  0.6667 
              NPV  0.0000 
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:45:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:33 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:34 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.66; User: 6.70; System: 0.12) 
[2020-06-29 03:45:34 FUN] Running grid line #32 of 40... 
[2020-06-29 03:45:34 s.ADDTREE] Hello,  

[2020-06-29 03:45:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:45:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  41  13

                   Overall  
      Sensitivity  0.1800 
      Specificity  1.0000 
Balanced Accuracy  0.5900 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.3051 
         Accuracy  0.3492 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:45:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:37 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:38 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.68; User: 5; System: 0.35) 
[2020-06-29 03:45:38 FUN] Running grid line #33 of 40... 
[2020-06-29 03:45:38 s.ADDTREE] Hello,  

[2020-06-29 03:45:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 03:45:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:41 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.20; User: 4.03; System: 0.19) 
[2020-06-29 03:45:41 FUN] Running grid line #34 of 40... 
[2020-06-29 03:45:41 s.ADDTREE] Hello,  

[2020-06-29 03:45:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  45  12

                   Overall  
      Sensitivity  0.1000 
      Specificity  1.0000 
Balanced Accuracy  0.5500 
              PPV  1.0000 
              NPV  0.2105 
               F1  0.1818 
         Accuracy  0.2742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2857 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:45:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:45 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.37; User: 4.25; System: 0.24) 
[2020-06-29 03:45:45 FUN] Running grid line #35 of 40... 
[2020-06-29 03:45:45 s.ADDTREE] Hello,  

[2020-06-29 03:45:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  43  13

                   Overall  
      Sensitivity  0.1224 
      Specificity  1.0000 
Balanced Accuracy  0.5612 
              PPV  1.0000 
              NPV  0.2321 
               F1  0.2182 
         Accuracy  0.3065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 03:45:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:49 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.70; User: 6.80; System: 0.33) 
[2020-06-29 03:45:49 FUN] Running grid line #36 of 40... 
[2020-06-29 03:45:49 s.ADDTREE] Hello,  

[2020-06-29 03:45:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:45:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2   0
                0  48  13

                   Overall  
      Sensitivity  0.0400 
      Specificity  1.0000 
Balanced Accuracy  0.5200 
              PPV  1.0000 
              NPV  0.2131 
               F1  0.0769 
         Accuracy  0.2381 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:45:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:52 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:53 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.13; User: 3.81; System: 0.27) 
[2020-06-29 03:45:53 FUN] Running grid line #37 of 40... 
[2020-06-29 03:45:53 s.ADDTREE] Hello,  

[2020-06-29 03:45:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  42  12

                   Overall  
      Sensitivity  0.1600 
      Specificity  1.0000 
Balanced Accuracy  0.5800 
              PPV  1.0000 
              NPV  0.2222 
               F1  0.2759 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2857 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:45:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:45:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:45:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:45:56 s.ADDTREE] Pruning tree... 

[2020-06-29 03:45:56 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.75; User: 4.97; System: 0.27) 
[2020-06-29 03:45:56 FUN] Running grid line #38 of 40... 
[2020-06-29 03:45:57 s.ADDTREE] Hello,  

[2020-06-29 03:45:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:45:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0  37  13

                   Overall  
      Sensitivity  0.2449 
      Specificity  1.0000 
Balanced Accuracy  0.6224 
              PPV  1.0000 
              NPV  0.2600 
               F1  0.3934 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  1

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.1667 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:45:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:00 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:00 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.79; User: 4.96; System: 0.27) 
[2020-06-29 03:46:00 FUN] Running grid line #39 of 40... 
[2020-06-29 03:46:00 s.ADDTREE] Hello,  

[2020-06-29 03:46:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:46:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  44  13

                   Overall  
      Sensitivity  0.1200 
      Specificity  1.0000 
Balanced Accuracy  0.5600 
              PPV  1.0000 
              NPV  0.2281 
               F1  0.2143 
         Accuracy  0.3016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:46:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:04 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:04 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.93; User: 5.40; System: 0.26) 
[2020-06-29 03:46:04 FUN] Running grid line #40 of 40... 
[2020-06-29 03:46:04 s.ADDTREE] Hello,  

[2020-06-29 03:46:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:46:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0  39  12

                   Overall  
      Sensitivity  0.2041 
      Specificity  1.0000 
Balanced Accuracy  0.6020 
              PPV  1.0000 
              NPV  0.2353 
               F1  0.3390 
         Accuracy  0.3607 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:46:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:08 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.26; User: 4.08; System: 0.29) 
[2020-06-29 03:46:14 FUN] Running grid line #1 of 40... 
[2020-06-29 03:46:14 s.ADDTREE] Hello,  

[2020-06-29 03:46:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:46:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:46:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:21 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:22 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.94; User: 13.19; System: 0.39) 
[2020-06-29 03:46:22 FUN] Running grid line #2 of 40... 
[2020-06-29 03:46:22 s.ADDTREE] Hello,  

[2020-06-29 03:46:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:46:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:46:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:29 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:30 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.13; User: 13.40; System: 0.42) 
[2020-06-29 03:46:30 FUN] Running grid line #3 of 40... 
[2020-06-29 03:46:30 s.ADDTREE] Hello,  

[2020-06-29 03:46:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:46:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   6  13

                   Overall  
      Sensitivity  0.8776 
      Specificity  1.0000 
Balanced Accuracy  0.9388 
              PPV  1.0000 
              NPV  0.6842 
               F1  0.9348 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.8000 
              NPV  0.3333 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:46:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:37 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.09; User: 11.50; System: 0.36) 
[2020-06-29 03:46:37 FUN] Running grid line #4 of 40... 
[2020-06-29 03:46:37 s.ADDTREE] Hello,  

[2020-06-29 03:46:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:46:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   6  14

                   Overall  
      Sensitivity  0.8800 
      Specificity  1.0000 
Balanced Accuracy  0.9400 
              PPV  1.0000 
              NPV  0.7000 
               F1  0.9362 
         Accuracy  0.9062 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:46:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:43 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:44 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.42; User: 10.31; System: 0.28) 
[2020-06-29 03:46:44 FUN] Running grid line #5 of 40... 
[2020-06-29 03:46:44 s.ADDTREE] Hello,  

[2020-06-29 03:46:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:46:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:46:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:51 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.47; User: 12.03; System: 0.50) 
[2020-06-29 03:46:51 FUN] Running grid line #6 of 40... 
[2020-06-29 03:46:51 s.ADDTREE] Hello,  

[2020-06-29 03:46:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:46:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:46:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:46:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:46:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:46:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:46:59 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.82; User: 12.97; System: 0.36) 
[2020-06-29 03:46:59 FUN] Running grid line #7 of 40... 
[2020-06-29 03:46:59 s.ADDTREE] Hello,  

[2020-06-29 03:46:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:47:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  0.9286 
Balanced Accuracy  0.9243 
              PPV  0.9787 
              NPV  0.7647 
               F1  0.9485 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:47:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:08 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.91; User: 14.52; System: 0.37) 
[2020-06-29 03:47:08 FUN] Running grid line #8 of 40... 
[2020-06-29 03:47:08 s.ADDTREE] Hello,  

[2020-06-29 03:47:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:47:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.9231 
Balanced Accuracy  0.9309 
              PPV  0.9787 
              NPV  0.8000 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:47:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:16 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.39; User: 11.91; System: 0.52) 
[2020-06-29 03:47:16 FUN] Running grid line #9 of 40... 
[2020-06-29 03:47:16 s.ADDTREE] Hello,  

[2020-06-29 03:47:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:47:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:47:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:25 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.25; User: 14.33; System: 0.46) 
[2020-06-29 03:47:25 FUN] Running grid line #10 of 40... 
[2020-06-29 03:47:25 s.ADDTREE] Hello,  

[2020-06-29 03:47:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:47:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7500 
              NPV  NA     
               F1  0.8571 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:47:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:32 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.96; User: 10.95; System: 0.25) 
[2020-06-29 03:47:32 FUN] Running grid line #11 of 40... 
[2020-06-29 03:47:32 s.ADDTREE] Hello,  

[2020-06-29 03:47:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:47:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:47:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:41 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.12; User: 15.63; System: 0.35) 
[2020-06-29 03:47:42 FUN] Running grid line #12 of 40... 
[2020-06-29 03:47:42 s.ADDTREE] Hello,  

[2020-06-29 03:47:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:47:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:47:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:48 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:50 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 13.74; System: 0.44) 
[2020-06-29 03:47:50 FUN] Running grid line #13 of 40... 
[2020-06-29 03:47:50 s.ADDTREE] Hello,  

[2020-06-29 03:47:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:47:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:47:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:47:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:47:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:47:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:47:58 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 13.65; System: 0.46) 
[2020-06-29 03:47:58 FUN] Running grid line #14 of 40... 
[2020-06-29 03:47:58 s.ADDTREE] Hello,  

[2020-06-29 03:47:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:47:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   6  14

                   Overall  
      Sensitivity  0.8800 
      Specificity  1.0000 
Balanced Accuracy  0.9400 
              PPV  1.0000 
              NPV  0.7000 
               F1  0.9362 
         Accuracy  0.9062 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:48:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:05 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:06 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.01; User: 13.30; System: 0.47) 
[2020-06-29 03:48:06 FUN] Running grid line #15 of 40... 
[2020-06-29 03:48:06 s.ADDTREE] Hello,  

[2020-06-29 03:48:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:48:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:48:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:16 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.29; User: 15.80; System: 0.46) 
[2020-06-29 03:48:16 FUN] Running grid line #16 of 40... 
[2020-06-29 03:48:16 s.ADDTREE] Hello,  

[2020-06-29 03:48:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:48:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:48:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:23 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:25 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.32; User: 15.91; System: 0.47) 
[2020-06-29 03:48:25 FUN] Running grid line #17 of 40... 
[2020-06-29 03:48:25 s.ADDTREE] Hello,  

[2020-06-29 03:48:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:48:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  14

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7368 
               F1  0.9474 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:48:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:34 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.32; User: 13.81; System: 0.36) 
[2020-06-29 03:48:34 FUN] Running grid line #18 of 40... 
[2020-06-29 03:48:34 s.ADDTREE] Hello,  

[2020-06-29 03:48:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:48:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:48:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:42 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.62; System: 0.47) 
[2020-06-29 03:48:42 FUN] Running grid line #19 of 40... 
[2020-06-29 03:48:42 s.ADDTREE] Hello,  

[2020-06-29 03:48:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:48:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:48:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:51 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.31; User: 15.91; System: 0.39) 
[2020-06-29 03:48:51 FUN] Running grid line #20 of 40... 
[2020-06-29 03:48:51 s.ADDTREE] Hello,  

[2020-06-29 03:48:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:48:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7500 
              NPV  NA     
               F1  0.8571 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:48:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:48:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:48:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:48:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:48:59 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 13.44; System: 0.27) 
[2020-06-29 03:48:59 FUN] Running grid line #21 of 40... 
[2020-06-29 03:48:59 s.ADDTREE] Hello,  

[2020-06-29 03:48:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:49:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:49:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:04 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:04 s.ADDTREE] Run completed in 0.08 minutes (Real: 5; User: 7.28; System: 0.23) 
[2020-06-29 03:49:04 FUN] Running grid line #22 of 40... 
[2020-06-29 03:49:05 s.ADDTREE] Hello,  

[2020-06-29 03:49:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:49:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:49:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.06; User: 7.67; System: 0.32) 
[2020-06-29 03:49:10 FUN] Running grid line #23 of 40... 
[2020-06-29 03:49:10 s.ADDTREE] Hello,  

[2020-06-29 03:49:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:49:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:49:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:15 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.81; User: 7.04; System: 0.23) 
[2020-06-29 03:49:15 FUN] Running grid line #24 of 40... 
[2020-06-29 03:49:15 s.ADDTREE] Hello,  

[2020-06-29 03:49:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:49:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:49:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:21 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.91; User: 9.14; System: 0.34) 
[2020-06-29 03:49:21 FUN] Running grid line #25 of 40... 
[2020-06-29 03:49:21 s.ADDTREE] Hello,  

[2020-06-29 03:49:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:49:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   1
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  0.9231 
Balanced Accuracy  0.9309 
              PPV  0.9787 
              NPV  0.8000 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:49:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:28 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.99; User: 11.23; System: 0.43) 
[2020-06-29 03:49:28 FUN] Running grid line #26 of 40... 
[2020-06-29 03:49:28 s.ADDTREE] Hello,  

[2020-06-29 03:49:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:49:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  14

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9796 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:49:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:37 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.94; User: 15.05; System: 0.42) 
[2020-06-29 03:49:37 FUN] Running grid line #27 of 40... 
[2020-06-29 03:49:37 s.ADDTREE] Hello,  

[2020-06-29 03:49:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:49:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   8  14

                   Overall  
      Sensitivity  0.8400 
      Specificity  1.0000 
Balanced Accuracy  0.9200 
              PPV  1.0000 
              NPV  0.6364 
               F1  0.9130 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:49:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:41 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.51; User: 6.56; System: 0.39) 
[2020-06-29 03:49:41 FUN] Running grid line #28 of 40... 
[2020-06-29 03:49:41 s.ADDTREE] Hello,  

[2020-06-29 03:49:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:49:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:49:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:47 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:47 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.08; User: 9.55; System: 0.42) 
[2020-06-29 03:49:48 FUN] Running grid line #29 of 40... 
[2020-06-29 03:49:48 s.ADDTREE] Hello,  

[2020-06-29 03:49:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:49:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:49:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:49:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:49:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:49:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:49:57 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.50; User: 16.07; System: 0.50) 
[2020-06-29 03:49:57 FUN] Running grid line #30 of 40... 
[2020-06-29 03:49:57 s.ADDTREE] Hello,  

[2020-06-29 03:49:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:49:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7500 
              NPV  NA     
               F1  0.8571 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:50:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:02 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:03 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.13; User: 9.33; System: 0.29) 
[2020-06-29 03:50:03 FUN] Running grid line #31 of 40... 
[2020-06-29 03:50:03 s.ADDTREE] Hello,  

[2020-06-29 03:50:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   0
                0  28  13

                   Overall  
      Sensitivity  0.4286 
      Specificity  1.0000 
Balanced Accuracy  0.7143 
              PPV  1.0000 
              NPV  0.3171 
               F1  0.6000 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:50:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:07 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.59; User: 4.87; System: 0.21) 
[2020-06-29 03:50:07 FUN] Running grid line #32 of 40... 
[2020-06-29 03:50:07 s.ADDTREE] Hello,  

[2020-06-29 03:50:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:50:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   0
                0  35  14

                   Overall  
      Sensitivity  0.3000 
      Specificity  1.0000 
Balanced Accuracy  0.6500 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.4615 
         Accuracy  0.4531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:50:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:11 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.17; User: 5.84; System: 0.28) 
[2020-06-29 03:50:11 FUN] Running grid line #33 of 40... 
[2020-06-29 03:50:11 s.ADDTREE] Hello,  

[2020-06-29 03:50:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0  37  13

                   Overall  
      Sensitivity  0.2449 
      Specificity  1.0000 
Balanced Accuracy  0.6224 
              PPV  1.0000 
              NPV  0.2600 
               F1  0.3934 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:50:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:15 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.45; User: 4.66; System: 0.17) 
[2020-06-29 03:50:15 FUN] Running grid line #34 of 40... 
[2020-06-29 03:50:15 s.ADDTREE] Hello,  

[2020-06-29 03:50:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:50:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  36  14

                   Overall  
      Sensitivity  0.2800 
      Specificity  1.0000 
Balanced Accuracy  0.6400 
              PPV  1.0000 
              NPV  0.2800 
               F1  0.4375 
         Accuracy  0.4375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:50:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:19 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:19 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.02; User: 5.45; System: 0.28) 
[2020-06-29 03:50:19 FUN] Running grid line #35 of 40... 
[2020-06-29 03:50:19 s.ADDTREE] Hello,  

[2020-06-29 03:50:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23  12
                0  26   1

                   Overall  
      Sensitivity  0.4694 
      Specificity  0.0769 
Balanced Accuracy  0.2732 
              PPV  0.6571 
              NPV  0.0370 
               F1  0.5476 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  2
                0  1  0

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.0000 
Balanced Accuracy  0.4167 
              PPV  0.7143 
              NPV  0.0000 
               F1  0.7692 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:50:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:23 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:24 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.81; User: 7.02; System: 0.32) 
[2020-06-29 03:50:24 FUN] Running grid line #36 of 40... 
[2020-06-29 03:50:24 s.ADDTREE] Hello,  

[2020-06-29 03:50:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:50:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17   0
                0  33  14

                   Overall  
      Sensitivity  0.3400 
      Specificity  1.0000 
Balanced Accuracy  0.6700 
              PPV  1.0000 
              NPV  0.2979 
               F1  0.5075 
         Accuracy  0.4844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:50:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:28 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.67; User: 4.83; System: 0.34) 
[2020-06-29 03:50:28 FUN] Running grid line #37 of 40... 
[2020-06-29 03:50:28 s.ADDTREE] Hello,  

[2020-06-29 03:50:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:50:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  43  14

                   Overall  
      Sensitivity  0.1400 
      Specificity  1.0000 
Balanced Accuracy  0.5700 
              PPV  1.0000 
              NPV  0.2456 
               F1  0.2456 
         Accuracy  0.3281 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:50:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:33 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.78; User: 5.95; System: 0.39) 
[2020-06-29 03:50:33 FUN] Running grid line #38 of 40... 
[2020-06-29 03:50:33 s.ADDTREE] Hello,  

[2020-06-29 03:50:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:50:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:36 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.21; User: 4.09; System: 0.31) 
[2020-06-29 03:50:36 FUN] Running grid line #39 of 40... 
[2020-06-29 03:50:36 s.ADDTREE] Hello,  

[2020-06-29 03:50:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:50:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   0
                0  37  14

                   Overall  
      Sensitivity  0.2600 
      Specificity  1.0000 
Balanced Accuracy  0.6300 
              PPV  1.0000 
              NPV  0.2745 
               F1  0.4127 
         Accuracy  0.4219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:50:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:41 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.20; User: 7.63; System: 0.33) 
[2020-06-29 03:50:41 FUN] Running grid line #40 of 40... 
[2020-06-29 03:50:41 s.ADDTREE] Hello,  

[2020-06-29 03:50:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2   0
                0  47  13

                   Overall  
      Sensitivity  0.0408 
      Specificity  1.0000 
Balanced Accuracy  0.5204 
              PPV  1.0000 
              NPV  0.2167 
               F1  0.0784 
         Accuracy  0.2419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:50:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:50:44 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.13; User: 3.83; System: 0.25) 
[2020-06-29 03:50:50 FUN] Running grid line #1 of 40... 
[2020-06-29 03:50:50 s.ADDTREE] Hello,  

[2020-06-29 03:50:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:50:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  12

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9792 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:50:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:50:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:50:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:50:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:00 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.34; User: 15.83; System: 0.41) 
[2020-06-29 03:51:00 FUN] Running grid line #2 of 40... 
[2020-06-29 03:51:00 s.ADDTREE] Hello,  

[2020-06-29 03:51:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:51:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:51:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:05 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:07 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.73; User: 10.75; System: 0.31) 
[2020-06-29 03:51:07 FUN] Running grid line #3 of 40... 
[2020-06-29 03:51:07 s.ADDTREE] Hello,  

[2020-06-29 03:51:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:51:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:51:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:13 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:14 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.29; User: 11.97; System: 0.42) 
[2020-06-29 03:51:14 FUN] Running grid line #4 of 40... 
[2020-06-29 03:51:14 s.ADDTREE] Hello,  

[2020-06-29 03:51:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:51:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  12

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9474 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  2

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:51:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:21 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.13; User: 11.46; System: 0.46) 
[2020-06-29 03:51:21 FUN] Running grid line #5 of 40... 
[2020-06-29 03:51:21 s.ADDTREE] Hello,  

[2020-06-29 03:51:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:51:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:51:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:29 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.38; User: 11.66; System: 0.43) 
[2020-06-29 03:51:29 FUN] Running grid line #6 of 40... 
[2020-06-29 03:51:29 s.ADDTREE] Hello,  

[2020-06-29 03:51:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:51:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:51:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:38 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.85; User: 14.50; System: 0.40) 
[2020-06-29 03:51:38 FUN] Running grid line #7 of 40... 
[2020-06-29 03:51:38 s.ADDTREE] Hello,  

[2020-06-29 03:51:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:51:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.9796 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7143 
              NPV  NA     
               F1  0.8333 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:51:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:45 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.46; User: 12.11; System: 0.42) 
[2020-06-29 03:51:45 FUN] Running grid line #8 of 40... 
[2020-06-29 03:51:45 s.ADDTREE] Hello,  

[2020-06-29 03:51:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:51:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8571 
              NPV  NA     
               F1  0.9231 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:51:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:52 s.ADDTREE] Pruning tree... 

[2020-06-29 03:51:53 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.47; User: 12.22; System: 0.27) 
[2020-06-29 03:51:53 FUN] Running grid line #9 of 40... 
[2020-06-29 03:51:53 s.ADDTREE] Hello,  

[2020-06-29 03:51:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:51:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  1.0000 
Balanced Accuracy  0.8000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:51:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:51:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:51:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:51:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:00 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.39; User: 11.80; System: 0.37) 
[2020-06-29 03:52:00 FUN] Running grid line #10 of 40... 
[2020-06-29 03:52:00 s.ADDTREE] Hello,  

[2020-06-29 03:52:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:52:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  12

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9462 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:52:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:08 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.31; User: 11.82; System: 0.48) 
[2020-06-29 03:52:08 FUN] Running grid line #11 of 40... 
[2020-06-29 03:52:08 s.ADDTREE] Hello,  

[2020-06-29 03:52:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:52:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  12

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9897 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:52:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:16 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.16; User: 13.51; System: 0.45) 
[2020-06-29 03:52:16 FUN] Running grid line #12 of 40... 
[2020-06-29 03:52:16 s.ADDTREE] Hello,  

[2020-06-29 03:52:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:52:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:52:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:22 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:23 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.33; User: 11.84; System: 0.35) 
[2020-06-29 03:52:23 FUN] Running grid line #13 of 40... 
[2020-06-29 03:52:23 s.ADDTREE] Hello,  

[2020-06-29 03:52:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:52:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:52:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:32 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.39; User: 13.89; System: 0.31) 
[2020-06-29 03:52:32 FUN] Running grid line #14 of 40... 
[2020-06-29 03:52:32 s.ADDTREE] Hello,  

[2020-06-29 03:52:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:52:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  12

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9474 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  2

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:52:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:39 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.97; User: 11.14; System: 0.42) 
[2020-06-29 03:52:39 FUN] Running grid line #15 of 40... 
[2020-06-29 03:52:39 s.ADDTREE] Hello,  

[2020-06-29 03:52:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:52:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:52:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:47 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:49 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.27; User: 17.63; System: 0.46) 
[2020-06-29 03:52:49 FUN] Running grid line #16 of 40... 
[2020-06-29 03:52:49 s.ADDTREE] Hello,  

[2020-06-29 03:52:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:52:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:52:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:52:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:52:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:52:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:52:57 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.33; User: 11.88; System: 0.43) 
[2020-06-29 03:52:57 FUN] Running grid line #17 of 40... 
[2020-06-29 03:52:57 s.ADDTREE] Hello,  

[2020-06-29 03:52:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:52:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  12

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  2
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.7143 
              NPV  NA     
               F1  0.8333 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:53:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:04 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.34; User: 11.92; System: 0.32) 
[2020-06-29 03:53:04 FUN] Running grid line #18 of 40... 
[2020-06-29 03:53:04 s.ADDTREE] Hello,  

[2020-06-29 03:53:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:53:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   0  13

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8571 
              NPV  NA     
               F1  0.9231 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:53:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:13 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.75; User: 14.80; System: 0.39) 
[2020-06-29 03:53:13 FUN] Running grid line #19 of 40... 
[2020-06-29 03:53:13 s.ADDTREE] Hello,  

[2020-06-29 03:53:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:53:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:53:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:21 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.27; User: 13.69; System: 0.50) 
[2020-06-29 03:53:21 FUN] Running grid line #20 of 40... 
[2020-06-29 03:53:21 s.ADDTREE] Hello,  

[2020-06-29 03:53:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:53:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:53:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:29 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.19; User: 11.66; System: 0.30) 
[2020-06-29 03:53:29 FUN] Running grid line #21 of 40... 
[2020-06-29 03:53:29 s.ADDTREE] Hello,  

[2020-06-29 03:53:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:53:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  12

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9231 
               F1  0.9897 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:53:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:34 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:35 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.12; User: 9.39; System: 0.39) 
[2020-06-29 03:53:35 FUN] Running grid line #22 of 40... 
[2020-06-29 03:53:35 s.ADDTREE] Hello,  

[2020-06-29 03:53:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:53:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:53:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:39 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:40 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.94; User: 7.48; System: 0.28) 
[2020-06-29 03:53:40 FUN] Running grid line #23 of 40... 
[2020-06-29 03:53:40 s.ADDTREE] Hello,  

[2020-06-29 03:53:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:53:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   7  13

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.6500 
               F1  0.9231 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:53:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:44 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:45 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.65; User: 6.95; System: 0.22) 
[2020-06-29 03:53:45 FUN] Running grid line #24 of 40... 
[2020-06-29 03:53:45 s.ADDTREE] Hello,  

[2020-06-29 03:53:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:53:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   7  12

                   Overall  
      Sensitivity  0.8600 
      Specificity  1.0000 
Balanced Accuracy  0.9300 
              PPV  1.0000 
              NPV  0.6316 
               F1  0.9247 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  2

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:53:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:49 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.62; User: 6.55; System: 0.23) 
[2020-06-29 03:53:49 FUN] Running grid line #25 of 40... 
[2020-06-29 03:53:49 s.ADDTREE] Hello,  

[2020-06-29 03:53:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:53:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:53:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:53:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:53:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:53:56 s.ADDTREE] Pruning tree... 

[2020-06-29 03:53:57 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.25; User: 12.08; System: 0.34) 
[2020-06-29 03:53:57 FUN] Running grid line #26 of 40... 
[2020-06-29 03:53:57 s.ADDTREE] Hello,  

[2020-06-29 03:53:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:53:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   8  13

                   Overall  
      Sensitivity  0.8400 
      Specificity  1.0000 
Balanced Accuracy  0.9200 
              PPV  1.0000 
              NPV  0.6190 
               F1  0.9130 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:54:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:02 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.70; User: 6.77; System: 0.30) 
[2020-06-29 03:54:02 FUN] Running grid line #27 of 40... 
[2020-06-29 03:54:02 s.ADDTREE] Hello,  

[2020-06-29 03:54:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  12

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9691 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  2  0

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.0000 
Balanced Accuracy  0.3000 
              PPV  0.6000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 03:54:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:07 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:08 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.36; User: 9.53; System: 0.41) 
[2020-06-29 03:54:08 FUN] Running grid line #28 of 40... 
[2020-06-29 03:54:08 s.ADDTREE] Hello,  

[2020-06-29 03:54:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   1  13

                   Overall  
      Sensitivity  0.9796 
      Specificity  1.0000 
Balanced Accuracy  0.9898 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9897 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8571 
              NPV  NA     
               F1  0.9231 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:54:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:13 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.70; User: 6.44; System: 0.43) 
[2020-06-29 03:54:13 FUN] Running grid line #29 of 40... 
[2020-06-29 03:54:13 s.ADDTREE] Hello,  

[2020-06-29 03:54:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:54:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   7  13

                   Overall  
      Sensitivity  0.8600 
      Specificity  1.0000 
Balanced Accuracy  0.9300 
              PPV  1.0000 
              NPV  0.6500 
               F1  0.9247 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:54:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:18 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:18 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.31; User: 6.92; System: 0.35) 
[2020-06-29 03:54:18 FUN] Running grid line #30 of 40... 
[2020-06-29 03:54:18 s.ADDTREE] Hello,  

[2020-06-29 03:54:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:54:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  12

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9574 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:54:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:24 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.16; User: 9.08; System: 0.30) 
[2020-06-29 03:54:25 FUN] Running grid line #31 of 40... 
[2020-06-29 03:54:25 s.ADDTREE] Hello,  

[2020-06-29 03:54:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:54:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0  
                1  35  5
                0  14  7

                   Overall  
      Sensitivity  0.7143 
      Specificity  0.5833 
Balanced Accuracy  0.6488 
              PPV  0.8750 
              NPV  0.3333 
               F1  0.7865 
         Accuracy  0.6885 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:54:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:30 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:31 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.98; User: 7.41; System: 0.28) 
[2020-06-29 03:54:31 FUN] Running grid line #32 of 40... 
[2020-06-29 03:54:31 s.ADDTREE] Hello,  

[2020-06-29 03:54:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:54:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0  40  13

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2453 
               F1  0.3333 
         Accuracy  0.3651 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:54:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:35 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:35 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.33; User: 4.67; System: 0.14) 
[2020-06-29 03:54:35 FUN] Running grid line #33 of 40... 
[2020-06-29 03:54:35 s.ADDTREE] Hello,  

[2020-06-29 03:54:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  40  13

                   Overall  
      Sensitivity  0.1837 
      Specificity  1.0000 
Balanced Accuracy  0.5918 
              PPV  1.0000 
              NPV  0.2453 
               F1  0.3103 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1429 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 03:54:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:40 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:41 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.93; User: 7.28; System: 0.31) 
[2020-06-29 03:54:41 FUN] Running grid line #34 of 40... 
[2020-06-29 03:54:41 s.ADDTREE] Hello,  

[2020-06-29 03:54:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   0
                0  46  12

                   Overall  
      Sensitivity  0.0800 
      Specificity  1.0000 
Balanced Accuracy  0.5400 
              PPV  1.0000 
              NPV  0.2069 
               F1  0.1481 
         Accuracy  0.2581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  2

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 03:54:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:46 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.14; User: 4.44; System: 0.32) 
[2020-06-29 03:54:46 FUN] Running grid line #35 of 40... 
[2020-06-29 03:54:46 s.ADDTREE] Hello,  

[2020-06-29 03:54:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   2
                0  36  11

                   Overall  
      Sensitivity  0.2653 
      Specificity  0.8462 
Balanced Accuracy  0.5557 
              PPV  0.8667 
              NPV  0.2340 
               F1  0.4062 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  1

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.1667 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 03:54:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:50 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:50 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.47; User: 5.03; System: 0.42) 
[2020-06-29 03:54:50 FUN] Running grid line #36 of 40... 
[2020-06-29 03:54:50 s.ADDTREE] Hello,  

[2020-06-29 03:54:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:54:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  43  13

                   Overall  
      Sensitivity  0.1400 
      Specificity  1.0000 
Balanced Accuracy  0.5700 
              PPV  1.0000 
              NPV  0.2321 
               F1  0.2456 
         Accuracy  0.3175 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:54:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:55 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:56 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.34; User: 7.31; System: 0.27) 
[2020-06-29 03:54:56 FUN] Running grid line #37 of 40... 
[2020-06-29 03:54:56 s.ADDTREE] Hello,  

[2020-06-29 03:54:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:54:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   0
                0  25  12

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.3243 
               F1  0.6667 
         Accuracy  0.5968 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  2  1

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.5000 
Balanced Accuracy  0.5500 
              PPV  0.7500 
              NPV  0.3333 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 03:54:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:54:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:54:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:54:59 s.ADDTREE] Pruning tree... 

[2020-06-29 03:54:59 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.46; User: 3.94; System: 0.22) 
[2020-06-29 03:54:59 FUN] Running grid line #38 of 40... 
[2020-06-29 03:54:59 s.ADDTREE] Hello,  

[2020-06-29 03:54:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:55:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  36   1
                0  13  12

                   Overall  
      Sensitivity  0.7347 
      Specificity  0.9231 
Balanced Accuracy  0.8289 
              PPV  0.9730 
              NPV  0.4800 
               F1  0.8372 
         Accuracy  0.7742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  0

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.0000 
Balanced Accuracy  0.4167 
              PPV  0.8333 
              NPV  0.0000 
               F1  0.8333 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 03:55:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:04 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.32; User: 4.82; System: 0.33) 
[2020-06-29 03:55:04 FUN] Running grid line #39 of 40... 
[2020-06-29 03:55:04 s.ADDTREE] Hello,  

[2020-06-29 03:55:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:55:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  45  13

                   Overall  
      Sensitivity  0.1000 
      Specificity  1.0000 
Balanced Accuracy  0.5500 
              PPV  1.0000 
              NPV  0.2241 
               F1  0.1818 
         Accuracy  0.2857 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  5  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1667 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 03:55:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:09 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.94; User: 6.50; System: 0.31) 
[2020-06-29 03:55:09 FUN] Running grid line #40 of 40... 
[2020-06-29 03:55:09 s.ADDTREE] Hello,  

[2020-06-29 03:55:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:55:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0  38  12

                   Overall  
      Sensitivity  0.2245 
      Specificity  1.0000 
Balanced Accuracy  0.6122 
              PPV  1.0000 
              NPV  0.2400 
               F1  0.3667 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:55:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:12 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.36; User: 4.35; System: 0.22) 
[2020-06-29 03:55:19 FUN] Running grid line #1 of 40... 
[2020-06-29 03:55:19 s.ADDTREE] Hello,  

[2020-06-29 03:55:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:55:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:55:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:26 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:27 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.64; User: 12.63; System: 0.50) 
[2020-06-29 03:55:27 FUN] Running grid line #2 of 40... 
[2020-06-29 03:55:27 s.ADDTREE] Hello,  

[2020-06-29 03:55:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:55:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:55:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:34 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:35 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.98; User: 13.08; System: 0.55) 
[2020-06-29 03:55:35 FUN] Running grid line #3 of 40... 
[2020-06-29 03:55:35 s.ADDTREE] Hello,  

[2020-06-29 03:55:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:55:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 03:55:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:42 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.24; User: 11.78; System: 0.39) 
[2020-06-29 03:55:42 FUN] Running grid line #4 of 40... 
[2020-06-29 03:55:42 s.ADDTREE] Hello,  

[2020-06-29 03:55:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:55:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:55:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:48 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:49 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.92; User: 11.19; System: 0.41) 
[2020-06-29 03:55:49 FUN] Running grid line #5 of 40... 
[2020-06-29 03:55:49 s.ADDTREE] Hello,  

[2020-06-29 03:55:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:55:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:55:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:55:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:55:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:55:56 s.ADDTREE] Pruning tree... 

[2020-06-29 03:55:57 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.67; User: 12.67; System: 0.47) 
[2020-06-29 03:55:57 FUN] Running grid line #6 of 40... 
[2020-06-29 03:55:57 s.ADDTREE] Hello,  

[2020-06-29 03:55:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:55:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:56:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:03 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:05 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.38; User: 12.19; System: 0.36) 
[2020-06-29 03:56:05 FUN] Running grid line #7 of 40... 
[2020-06-29 03:56:05 s.ADDTREE] Hello,  

[2020-06-29 03:56:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:56:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:56:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:11 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:13 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.83; User: 12.75; System: 0.36) 
[2020-06-29 03:56:13 FUN] Running grid line #8 of 40... 
[2020-06-29 03:56:13 s.ADDTREE] Hello,  

[2020-06-29 03:56:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:56:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:56:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:21 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 14; System: 0.48) 
[2020-06-29 03:56:21 FUN] Running grid line #9 of 40... 
[2020-06-29 03:56:21 s.ADDTREE] Hello,  

[2020-06-29 03:56:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:56:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:56:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:28 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.97; User: 11.14; System: 0.29) 
[2020-06-29 03:56:28 FUN] Running grid line #10 of 40... 
[2020-06-29 03:56:28 s.ADDTREE] Hello,  

[2020-06-29 03:56:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:56:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:56:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:36 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:37 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.22; User: 15.27; System: 0.45) 
[2020-06-29 03:56:38 FUN] Running grid line #11 of 40... 
[2020-06-29 03:56:38 s.ADDTREE] Hello,  

[2020-06-29 03:56:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:56:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:56:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:47 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.28; User: 15.61; System: 0.59) 
[2020-06-29 03:56:47 FUN] Running grid line #12 of 40... 
[2020-06-29 03:56:47 s.ADDTREE] Hello,  

[2020-06-29 03:56:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:56:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  14

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7778 
               F1  0.9583 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:56:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:56:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:56:54 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.38; User: 11.93; System: 0.44) 
[2020-06-29 03:56:54 FUN] Running grid line #13 of 40... 
[2020-06-29 03:56:54 s.ADDTREE] Hello,  

[2020-06-29 03:56:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:56:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:56:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:56:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:56:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:02 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.96; User: 13.10; System: 0.30) 
[2020-06-29 03:57:02 FUN] Running grid line #14 of 40... 
[2020-06-29 03:57:03 s.ADDTREE] Hello,  

[2020-06-29 03:57:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:57:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:57:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:10 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.72; User: 12.73; System: 0.40) 
[2020-06-29 03:57:10 FUN] Running grid line #15 of 40... 
[2020-06-29 03:57:10 s.ADDTREE] Hello,  

[2020-06-29 03:57:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:57:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:57:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:16 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:18 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.36; User: 12.13; System: 0.39) 
[2020-06-29 03:57:18 FUN] Running grid line #16 of 40... 
[2020-06-29 03:57:18 s.ADDTREE] Hello,  

[2020-06-29 03:57:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:57:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:57:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:24 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:25 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.45; User: 11.92; System: 0.46) 
[2020-06-29 03:57:25 FUN] Running grid line #17 of 40... 
[2020-06-29 03:57:25 s.ADDTREE] Hello,  

[2020-06-29 03:57:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:57:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:57:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:33 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:35 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.28; User: 15.72; System: 0.47) 
[2020-06-29 03:57:35 FUN] Running grid line #18 of 40... 
[2020-06-29 03:57:35 s.ADDTREE] Hello,  

[2020-06-29 03:57:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:57:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   6  13

                   Overall  
      Sensitivity  0.8776 
      Specificity  1.0000 
Balanced Accuracy  0.9388 
              PPV  1.0000 
              NPV  0.6842 
               F1  0.9348 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:57:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:41 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:42 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.33; User: 11.89; System: 0.38) 
[2020-06-29 03:57:42 FUN] Running grid line #19 of 40... 
[2020-06-29 03:57:42 s.ADDTREE] Hello,  

[2020-06-29 03:57:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:57:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:57:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:48 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:49 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.90; User: 11; System: 0.31) 
[2020-06-29 03:57:49 FUN] Running grid line #20 of 40... 
[2020-06-29 03:57:49 s.ADDTREE] Hello,  

[2020-06-29 03:57:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:57:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:57:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:57:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:57:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:57:57 s.ADDTREE] Pruning tree... 

[2020-06-29 03:57:59 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.50; User: 16.02; System: 0.44) 
[2020-06-29 03:57:59 FUN] Running grid line #21 of 40... 
[2020-06-29 03:57:59 s.ADDTREE] Hello,  

[2020-06-29 03:57:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:57:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:58:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:04 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:05 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.90; User: 9.22; System: 0.40) 
[2020-06-29 03:58:05 FUN] Running grid line #22 of 40... 
[2020-06-29 03:58:05 s.ADDTREE] Hello,  

[2020-06-29 03:58:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:58:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:09 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.09; User: 7.61; System: 0.39) 
[2020-06-29 03:58:10 FUN] Running grid line #23 of 40... 
[2020-06-29 03:58:10 s.ADDTREE] Hello,  

[2020-06-29 03:58:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:58:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   2  13

                   Overall  
      Sensitivity  0.9592 
      Specificity  1.0000 
Balanced Accuracy  0.9796 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9792 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  1
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:58:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:14 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:15 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.90; User: 7.14; System: 0.24) 
[2020-06-29 03:58:15 FUN] Running grid line #24 of 40... 
[2020-06-29 03:58:15 s.ADDTREE] Hello,  

[2020-06-29 03:58:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  14

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8235 
               F1  0.9691 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:58:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:20 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:21 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.55; User: 8.67; System: 0.22) 
[2020-06-29 03:58:21 FUN] Running grid line #25 of 40... 
[2020-06-29 03:58:21 s.ADDTREE] Hello,  

[2020-06-29 03:58:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:58:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:58:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:28 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.97; User: 11.17; System: 0.33) 
[2020-06-29 03:58:28 FUN] Running grid line #26 of 40... 
[2020-06-29 03:58:28 s.ADDTREE] Hello,  

[2020-06-29 03:58:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  14

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:58:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:32 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:33 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.10; User: 7.37; System: 0.29) 
[2020-06-29 03:58:33 FUN] Running grid line #27 of 40... 
[2020-06-29 03:58:33 s.ADDTREE] Hello,  

[2020-06-29 03:58:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  50   0
                0   0  14

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 03:58:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:38 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:38 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.42; User: 8.09; System: 0.28) 
[2020-06-29 03:58:38 FUN] Running grid line #28 of 40... 
[2020-06-29 03:58:39 s.ADDTREE] Hello,  

[2020-06-29 03:58:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:58:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 03:58:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:43 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:44 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.90; User: 9.08; System: 0.36) 
[2020-06-29 03:58:45 FUN] Running grid line #29 of 40... 
[2020-06-29 03:58:45 s.ADDTREE] Hello,  

[2020-06-29 03:58:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  14

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9899 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:58:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:49 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:50 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.09; User: 7.75; System: 0.28) 
[2020-06-29 03:58:50 FUN] Running grid line #30 of 40... 
[2020-06-29 03:58:50 s.ADDTREE] Hello,  

[2020-06-29 03:58:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:58:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  40   0
                0   9  13

                   Overall  
      Sensitivity  0.8163 
      Specificity  1.0000 
Balanced Accuracy  0.9082 
              PPV  1.0000 
              NPV  0.5909 
               F1  0.8989 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  2

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9091 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 03:58:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:54 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:54 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.53; User: 6.53; System: 0.21) 
[2020-06-29 03:58:54 FUN] Running grid line #31 of 40... 
[2020-06-29 03:58:54 s.ADDTREE] Hello,  

[2020-06-29 03:58:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:58:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   0
                0  34  13

                   Overall  
      Sensitivity  0.3061 
      Specificity  1.0000 
Balanced Accuracy  0.6531 
              PPV  1.0000 
              NPV  0.2766 
               F1  0.4687 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:58:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:58:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:58:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:58:58 s.ADDTREE] Pruning tree... 

[2020-06-29 03:58:58 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.89; User: 5.33; System: 0.18) 
[2020-06-29 03:58:58 FUN] Running grid line #32 of 40... 
[2020-06-29 03:58:58 s.ADDTREE] Hello,  

[2020-06-29 03:58:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:58:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  41  14

                   Overall  
      Sensitivity  0.1800 
      Specificity  1.0000 
Balanced Accuracy  0.5900 
              PPV  1.0000 
              NPV  0.2545 
               F1  0.3051 
         Accuracy  0.3594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:59:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:01 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:02 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.32; User: 4.08; System: 0.25) 
[2020-06-29 03:59:02 FUN] Running grid line #33 of 40... 
[2020-06-29 03:59:02 s.ADDTREE] Hello,  

[2020-06-29 03:59:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:59:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   0
                0  48  13

                   Overall  
      Sensitivity  0.0204 
      Specificity  1.0000 
Balanced Accuracy  0.5102 
              PPV  1.0000 
              NPV  0.2131 
               F1  0.0400 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.2500 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 03:59:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:05 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:05 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.15; User: 3.78; System: 0.28) 
[2020-06-29 03:59:05 FUN] Running grid line #34 of 40... 
[2020-06-29 03:59:05 s.ADDTREE] Hello,  

[2020-06-29 03:59:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:59:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  43  14

                   Overall  
      Sensitivity  0.1400 
      Specificity  1.0000 
Balanced Accuracy  0.5700 
              PPV  1.0000 
              NPV  0.2456 
               F1  0.2456 
         Accuracy  0.3281 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:59:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:08 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:08 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.27; User: 4.06; System: 0.26) 
[2020-06-29 03:59:08 FUN] Running grid line #35 of 40... 
[2020-06-29 03:59:08 s.ADDTREE] Hello,  

[2020-06-29 03:59:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:59:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   0
                0  40  13

                   Overall  
      Sensitivity  0.1837 
      Specificity  1.0000 
Balanced Accuracy  0.5918 
              PPV  1.0000 
              NPV  0.2453 
               F1  0.3103 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:59:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:12 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:12 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.24; User: 4.04; System: 0.26) 
[2020-06-29 03:59:12 FUN] Running grid line #36 of 40... 
[2020-06-29 03:59:12 s.ADDTREE] Hello,  

[2020-06-29 03:59:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:59:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  36  14

                   Overall  
      Sensitivity  0.2800 
      Specificity  1.0000 
Balanced Accuracy  0.6400 
              PPV  1.0000 
              NPV  0.2800 
               F1  0.4375 
         Accuracy  0.4375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:59:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:15 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:15 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.16; User: 3.95; System: 0.20) 
[2020-06-29 03:59:15 FUN] Running grid line #37 of 40... 
[2020-06-29 03:59:15 s.ADDTREE] Hello,  

[2020-06-29 03:59:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:59:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   0
                0  35  14

                   Overall  
      Sensitivity  0.3000 
      Specificity  1.0000 
Balanced Accuracy  0.6500 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.4615 
         Accuracy  0.4531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  5  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 03:59:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:19 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:19 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.25; User: 5.98; System: 0.29) 
[2020-06-29 03:59:19 FUN] Running grid line #38 of 40... 
[2020-06-29 03:59:19 s.ADDTREE] Hello,  

[2020-06-29 03:59:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:59:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  35  13

                   Overall  
      Sensitivity  0.2857 
      Specificity  1.0000 
Balanced Accuracy  0.6429 
              PPV  1.0000 
              NPV  0.2708 
               F1  0.4444 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 03:59:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:23 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:23 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.78; User: 4.99; System: 0.23) 
[2020-06-29 03:59:23 FUN] Running grid line #39 of 40... 
[2020-06-29 03:59:23 s.ADDTREE] Hello,  

[2020-06-29 03:59:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:59:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  45  14

                   Overall  
      Sensitivity  0.1000 
      Specificity  1.0000 
Balanced Accuracy  0.5500 
              PPV  1.0000 
              NPV  0.2373 
               F1  0.1818 
         Accuracy  0.2969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 03:59:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:27 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:27 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.49; User: 4.53; System: 0.25) 
[2020-06-29 03:59:27 FUN] Running grid line #40 of 40... 
[2020-06-29 03:59:27 s.ADDTREE] Hello,  

[2020-06-29 03:59:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:59:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   0
                0  45  13

                   Overall  
      Sensitivity  0.0816 
      Specificity  1.0000 
Balanced Accuracy  0.5408 
              PPV  1.0000 
              NPV  0.2241 
               F1  0.1509 
         Accuracy  0.2742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 03:59:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:31 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:31 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.35; User: 5.89; System: 0.34) 
[2020-06-29 03:59:38 FUN] Running grid line #1 of 40... 
[2020-06-29 03:59:39 s.ADDTREE] Hello,  

[2020-06-29 03:59:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 03:59:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.8000 
              NPV  0.3333 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 03:59:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:45 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:46 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.39; User: 12.07; System: 0.35) 
[2020-06-29 03:59:46 FUN] Running grid line #2 of 40... 
[2020-06-29 03:59:46 s.ADDTREE] Hello,  

[2020-06-29 03:59:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 03:59:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 03:59:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 03:59:53 s.ADDTREE] Pruning tree... 

[2020-06-29 03:59:54 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.86; User: 12.79; System: 0.40) 
[2020-06-29 03:59:54 FUN] Running grid line #3 of 40... 
[2020-06-29 03:59:54 s.ADDTREE] Hello,  

[2020-06-29 03:59:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 03:59:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 03:59:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 03:59:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 03:59:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:02 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.58; System: 0.38) 
[2020-06-29 04:00:02 FUN] Running grid line #4 of 40... 
[2020-06-29 04:00:02 s.ADDTREE] Hello,  

[2020-06-29 04:00:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:00:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:00:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:10 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.40; User: 12.03; System: 0.46) 
[2020-06-29 04:00:10 FUN] Running grid line #5 of 40... 
[2020-06-29 04:00:10 s.ADDTREE] Hello,  

[2020-06-29 04:00:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:00:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:00:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:17 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.46; User: 12.23; System: 0.34) 
[2020-06-29 04:00:17 FUN] Running grid line #6 of 40... 
[2020-06-29 04:00:17 s.ADDTREE] Hello,  

[2020-06-29 04:00:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:00:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  13

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9583 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:00:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:26 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.82; User: 14.86; System: 0.69) 
[2020-06-29 04:00:26 FUN] Running grid line #7 of 40... 
[2020-06-29 04:00:26 s.ADDTREE] Hello,  

[2020-06-29 04:00:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:00:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  12

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9474 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.5000 
Balanced Accuracy  0.6500 
              PPV  0.8000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:00:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:32 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:34 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.42; User: 12.01; System: 0.34) 
[2020-06-29 04:00:34 FUN] Running grid line #8 of 40... 
[2020-06-29 04:00:34 s.ADDTREE] Hello,  

[2020-06-29 04:00:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:00:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:00:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:39 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:40 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.12; User: 9.61; System: 0.34) 
[2020-06-29 04:00:40 FUN] Running grid line #9 of 40... 
[2020-06-29 04:00:40 s.ADDTREE] Hello,  

[2020-06-29 04:00:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:00:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   1
                0   2  12

                   Overall  
      Sensitivity  0.9600 
      Specificity  0.9231 
Balanced Accuracy  0.9415 
              PPV  0.9796 
              NPV  0.8571 
               F1  0.9697 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:00:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.44; User: 12.18; System: 0.34) 
[2020-06-29 04:00:47 FUN] Running grid line #10 of 40... 
[2020-06-29 04:00:48 s.ADDTREE] Hello,  

[2020-06-29 04:00:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:00:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:00:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:00:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:00:55 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.75; User: 12.60; System: 0.59) 
[2020-06-29 04:00:55 FUN] Running grid line #11 of 40... 
[2020-06-29 04:00:55 s.ADDTREE] Hello,  

[2020-06-29 04:00:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:00:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.5000 
Balanced Accuracy  0.6667 
              PPV  0.8333 
              NPV  0.5000 
               F1  0.8333 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:00:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:00:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:00:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:02 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.28; User: 9.89; System: 0.39) 
[2020-06-29 04:01:02 FUN] Running grid line #12 of 40... 
[2020-06-29 04:01:02 s.ADDTREE] Hello,  

[2020-06-29 04:01:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:01:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:01:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:10 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.14; User: 13.60; System: 0.42) 
[2020-06-29 04:01:10 FUN] Running grid line #13 of 40... 
[2020-06-29 04:01:10 s.ADDTREE] Hello,  

[2020-06-29 04:01:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:01:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:01:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:17 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.80; User: 11.07; System: 0.29) 
[2020-06-29 04:01:17 FUN] Running grid line #14 of 40... 
[2020-06-29 04:01:17 s.ADDTREE] Hello,  

[2020-06-29 04:01:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:01:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:01:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:26 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.21; User: 15.70; System: 0.35) 
[2020-06-29 04:01:26 FUN] Running grid line #15 of 40... 
[2020-06-29 04:01:26 s.ADDTREE] Hello,  

[2020-06-29 04:01:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:01:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  44   0
                0   5  13

                   Overall  
      Sensitivity  0.8980 
      Specificity  1.0000 
Balanced Accuracy  0.9490 
              PPV  1.0000 
              NPV  0.7222 
               F1  0.9462 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:01:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:32 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:33 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.88; User: 11.13; System: 0.41) 
[2020-06-29 04:01:33 FUN] Running grid line #16 of 40... 
[2020-06-29 04:01:33 s.ADDTREE] Hello,  

[2020-06-29 04:01:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:01:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  1

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:01:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:41 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.19; User: 13.86; System: 0.37) 
[2020-06-29 04:01:41 FUN] Running grid line #17 of 40... 
[2020-06-29 04:01:41 s.ADDTREE] Hello,  

[2020-06-29 04:01:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:01:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   5  12

                   Overall  
      Sensitivity  0.9000 
      Specificity  1.0000 
Balanced Accuracy  0.9500 
              PPV  1.0000 
              NPV  0.7059 
               F1  0.9474 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.5000 
Balanced Accuracy  0.6500 
              PPV  0.8000 
              NPV  0.5000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:01:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:49 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.34; User: 11.94; System: 0.33) 
[2020-06-29 04:01:49 FUN] Running grid line #18 of 40... 
[2020-06-29 04:01:49 s.ADDTREE] Hello,  

[2020-06-29 04:01:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:01:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  45   0
                0   4  13

                   Overall  
      Sensitivity  0.9184 
      Specificity  1.0000 
Balanced Accuracy  0.9592 
              PPV  1.0000 
              NPV  0.7647 
               F1  0.9574 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:01:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:01:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:01:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:01:56 s.ADDTREE] Pruning tree... 

[2020-06-29 04:01:57 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.31; User: 13.73; System: 0.28) 
[2020-06-29 04:01:57 FUN] Running grid line #19 of 40... 
[2020-06-29 04:01:57 s.ADDTREE] Hello,  

[2020-06-29 04:01:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:01:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  13

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9691 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:02:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:07 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.38; User: 16.05; System: 0.44) 
[2020-06-29 04:02:07 FUN] Running grid line #20 of 40... 
[2020-06-29 04:02:07 s.ADDTREE] Hello,  

[2020-06-29 04:02:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:02:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  43   0
                0   6  12

                   Overall  
      Sensitivity  0.8776 
      Specificity  1.0000 
Balanced Accuracy  0.9388 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.9348 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:02:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:14 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.40; User: 12.12; System: 0.27) 
[2020-06-29 04:02:14 FUN] Running grid line #21 of 40... 
[2020-06-29 04:02:14 s.ADDTREE] Hello,  

[2020-06-29 04:02:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:02:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  2  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.8000 
              NPV  0.3333 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:02:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:21 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.72; User: 9.84; System: 0.33) 
[2020-06-29 04:02:21 FUN] Running grid line #22 of 40... 
[2020-06-29 04:02:21 s.ADDTREE] Hello,  

[2020-06-29 04:02:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:02:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  1  0

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.0000 
Balanced Accuracy  0.4000 
              PPV  0.8000 
              NPV  0.0000 
               F1  0.8000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:02:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:27 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.50; User: 8.33; System: 0.33) 
[2020-06-29 04:02:27 FUN] Running grid line #23 of 40... 
[2020-06-29 04:02:27 s.ADDTREE] Hello,  

[2020-06-29 04:02:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:02:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:02:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:31 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.19; User: 5.44; System: 0.14) 
[2020-06-29 04:02:31 FUN] Running grid line #24 of 40... 
[2020-06-29 04:02:31 s.ADDTREE] Hello,  

[2020-06-29 04:02:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:02:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  47   0
                0   3  12

                   Overall  
      Sensitivity  0.9400 
      Specificity  1.0000 
Balanced Accuracy  0.9700 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9691 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:02:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:37 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:38 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.04; User: 11.30; System: 0.36) 
[2020-06-29 04:02:38 FUN] Running grid line #25 of 40... 
[2020-06-29 04:02:38 s.ADDTREE] Hello,  

[2020-06-29 04:02:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:02:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  13

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8125 
               F1  0.9684 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  1  1

                   Overall  
      Sensitivity  0.8333 
      Specificity  1.0000 
Balanced Accuracy  0.9167 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.9091 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:02:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:44 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.66; User: 8.75; System: 0.37) 
[2020-06-29 04:02:44 FUN] Running grid line #26 of 40... 
[2020-06-29 04:02:44 s.ADDTREE] Hello,  

[2020-06-29 04:02:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:02:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  49   0
                0   1  13

                   Overall  
      Sensitivity  0.9800 
      Specificity  1.0000 
Balanced Accuracy  0.9900 
              PPV  1.0000 
              NPV  0.9286 
               F1  0.9899 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  1
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.8333 
              NPV  NA     
               F1  0.9091 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:02:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:54 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.59; User: 16.31; System: 0.50) 
[2020-06-29 04:02:54 FUN] Running grid line #27 of 40... 
[2020-06-29 04:02:54 s.ADDTREE] Hello,  

[2020-06-29 04:02:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:02:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   4  12

                   Overall  
      Sensitivity  0.9200 
      Specificity  1.0000 
Balanced Accuracy  0.9600 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.9583 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  5  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:02:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:02:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:02:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:02:58 s.ADDTREE] Pruning tree... 

[2020-06-29 04:02:58 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.65; User: 6.97; System: 0.23) 
[2020-06-29 04:02:58 FUN] Running grid line #28 of 40... 
[2020-06-29 04:02:59 s.ADDTREE] Hello,  

[2020-06-29 04:02:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:02:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  42   0
                0   7  13

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.6500 
               F1  0.9231 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  3  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:03:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:03 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:03 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.67; User: 6.72; System: 0.34) 
[2020-06-29 04:03:03 FUN] Running grid line #29 of 40... 
[2020-06-29 04:03:03 s.ADDTREE] Hello,  

[2020-06-29 04:03:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:03:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  48   0
                0   2  13

                   Overall  
      Sensitivity  0.9600 
      Specificity  1.0000 
Balanced Accuracy  0.9800 
              PPV  1.0000 
              NPV  0.8667 
               F1  0.9796 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:03:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:10 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:11 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 13.39; System: 0.39) 
[2020-06-29 04:03:11 FUN] Running grid line #30 of 40... 
[2020-06-29 04:03:11 s.ADDTREE] Hello,  

[2020-06-29 04:03:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:03:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  46   0
                0   3  12

                   Overall  
      Sensitivity  0.9388 
      Specificity  1.0000 
Balanced Accuracy  0.9694 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.9684 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  6  0
                0  0  2

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:03:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:17 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.27; User: 8.03; System: 0.28) 
[2020-06-29 04:03:17 FUN] Running grid line #31 of 40... 
[2020-06-29 04:03:17 s.ADDTREE] Hello,  

[2020-06-29 04:03:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:03:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0  38  12

                   Overall  
      Sensitivity  0.2245 
      Specificity  1.0000 
Balanced Accuracy  0.6122 
              PPV  1.0000 
              NPV  0.2400 
               F1  0.3667 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:03:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:20 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.10; User: 3.76; System: 0.20) 
[2020-06-29 04:03:20 FUN] Running grid line #32 of 40... 
[2020-06-29 04:03:20 s.ADDTREE] Hello,  

[2020-06-29 04:03:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:03:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  42  13

                   Overall  
      Sensitivity  0.1600 
      Specificity  1.0000 
Balanced Accuracy  0.5800 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2759 
         Accuracy  0.3333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  1

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:03:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:23 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.16; User: 3.81; System: 0.30) 
[2020-06-29 04:03:23 FUN] Running grid line #33 of 40... 
[2020-06-29 04:03:23 s.ADDTREE] Hello,  

[2020-06-29 04:03:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:03:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  13

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2407 
               F1  0.2807 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  4  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.2000 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:03:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:27 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.67; User: 4.83; System: 0.33) 
[2020-06-29 04:03:27 FUN] Running grid line #34 of 40... 
[2020-06-29 04:03:27 s.ADDTREE] Hello,  

[2020-06-29 04:03:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:03:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   0
                0  45  12

                   Overall  
      Sensitivity  0.1000 
      Specificity  1.0000 
Balanced Accuracy  0.5500 
              PPV  1.0000 
              NPV  0.2105 
               F1  0.1818 
         Accuracy  0.2742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  4  2

                   Overall  
      Sensitivity  0.2000 
      Specificity  1.0000 
Balanced Accuracy  0.6000 
              PPV  1.0000 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:03:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:30 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:30 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.02; User: 3.60; System: 0.23) 
[2020-06-29 04:03:30 FUN] Running grid line #35 of 40... 
[2020-06-29 04:03:30 s.ADDTREE] Hello,  

[2020-06-29 04:03:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:03:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  42  13

                   Overall  
      Sensitivity  0.1429 
      Specificity  1.0000 
Balanced Accuracy  0.5714 
              PPV  1.0000 
              NPV  0.2364 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1429 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 04:03:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:34 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.58; User: 4.89; System: 0.24) 
[2020-06-29 04:03:34 FUN] Running grid line #36 of 40... 
[2020-06-29 04:03:34 s.ADDTREE] Hello,  

[2020-06-29 04:03:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:03:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17   0
                0  33  13

                   Overall  
      Sensitivity  0.3400 
      Specificity  1.0000 
Balanced Accuracy  0.6700 
              PPV  1.0000 
              NPV  0.2826 
               F1  0.5075 
         Accuracy  0.4762 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  1  1

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.8889 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:03:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:37 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:38 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.11; User: 5.78; System: 0.20) 
[2020-06-29 04:03:38 FUN] Running grid line #37 of 40... 
[2020-06-29 04:03:38 s.ADDTREE] Hello,  

[2020-06-29 04:03:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:03:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   0
                0  35  12

                   Overall  
      Sensitivity  0.3000 
      Specificity  1.0000 
Balanced Accuracy  0.6500 
              PPV  1.0000 
              NPV  0.2553 
               F1  0.4615 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  2

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.4000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:03:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:41 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.20; User: 3.98; System: 0.18) 
[2020-06-29 04:03:41 FUN] Running grid line #38 of 40... 
[2020-06-29 04:03:41 s.ADDTREE] Hello,  

[2020-06-29 04:03:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:03:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   0
                0  43  13

                   Overall  
      Sensitivity  0.1224 
      Specificity  1.0000 
Balanced Accuracy  0.5612 
              PPV  1.0000 
              NPV  0.2321 
               F1  0.2182 
         Accuracy  0.3065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  6  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.1429 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 04:03:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:46 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.51; User: 6.50; System: 0.33) 
[2020-06-29 04:03:46 FUN] Running grid line #39 of 40... 
[2020-06-29 04:03:46 s.ADDTREE] Hello,  

[2020-06-29 04:03:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:03:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   0
                0  36  13

                   Overall  
      Sensitivity  0.2800 
      Specificity  1.0000 
Balanced Accuracy  0.6400 
              PPV  1.0000 
              NPV  0.2653 
               F1  0.4375 
         Accuracy  0.4286 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  3  1

                   Overall  
      Sensitivity  0.4000 
      Specificity  1.0000 
Balanced Accuracy  0.7000 
              PPV  1.0000 
              NPV  0.2500 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:03:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:49 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:50 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.95; User: 5.40; System: 0.26) 
[2020-06-29 04:03:50 FUN] Running grid line #40 of 40... 
[2020-06-29 04:03:50 s.ADDTREE] Hello,  

[2020-06-29 04:03:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:03:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   0
                0  41  12

                   Overall  
      Sensitivity  0.1633 
      Specificity  1.0000 
Balanced Accuracy  0.5816 
              PPV  1.0000 
              NPV  0.2264 
               F1  0.2807 
         Accuracy  0.3279 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 04:03:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:03:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:03:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:03:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:03:54 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.83; User: 5.32; System: 0.25) 


[[ elevate ADDTREE ]]
   N repeats = 1 
   N resamples = 10 
   Resampler = kfold 
   Balanced Accuracy of 10 aggregated test sets in each repeat = 0.86

[2020-06-29 04:04:00 elevate] Run completed in 44.30 minutes (Real: 2658.14; User: 4079.60; System: 149.56) 

saveRDS(cases.viol.tree, "cases-viol-tree.rds")

cases.force.tree <- elevate(cases.force, mod = "addtree",
                           resampler = "kfold", n.resamples = 10,
                           grid.resample.rtset = rtset.resample("kfold", 10),
                           gamma = c(0.1, 0.5, 0.9, 1.3),
                           learning.rate = 0.001,
                           seed = 2020)

[2020-06-29 04:04:07 elevate] Hello,  

[[ Classification Input Summary ]]
   Training features: 77 x 39 
    Training outcome: 77 x 1 

[2020-06-29 04:04:08 resLearn] Training Additive Tree on 10 independent folds... 

  |                                                  | 0 % ~calculating  [2020-06-29 04:04:08 FUN] Running grid line #1 of 40... 
[2020-06-29 04:04:08 s.ADDTREE] Hello,  

[2020-06-29 04:04:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:04:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   5
                0   4  26

                   Overall  
      Sensitivity  0.8667 
      Specificity  0.8387 
Balanced Accuracy  0.8527 
              PPV  0.8387 
              NPV  0.8667 
               F1  0.8525 
         Accuracy  0.8525 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:04:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:04:17 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.73; User: 13.80; System: 0.49) 
[2020-06-29 04:04:17 FUN] Running grid line #2 of 40... 
[2020-06-29 04:04:17 s.ADDTREE] Hello,  

[2020-06-29 04:04:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:04:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  13
                0   2  19

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.5938 
Balanced Accuracy  0.7646 
              PPV  0.6905 
              NPV  0.9048 
               F1  0.7945 
         Accuracy  0.7619 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:04:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:04:25 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.05; User: 12.81; System: 0.39) 
[2020-06-29 04:04:25 FUN] Running grid line #3 of 40... 
[2020-06-29 04:04:25 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:04:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   7
                0   3  24

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.7742 
Balanced Accuracy  0.8387 
              PPV  0.8000 
              NPV  0.8889 
               F1  0.8485 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:04:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:04:35 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.23; User: 17.26; System: 0.55) 
[2020-06-29 04:04:35 FUN] Running grid line #4 of 40... 
[2020-06-29 04:04:35 s.ADDTREE] Hello,  

[2020-06-29 04:04:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:04:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  10
                0   0  22

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6875 
Balanced Accuracy  0.8438 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:04:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:04:42 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.48; User: 10.24; System: 0.39) 
[2020-06-29 04:04:42 FUN] Running grid line #5 of 40... 
[2020-06-29 04:04:42 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:04:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   6
                0   4  25

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.8065 
Balanced Accuracy  0.8387 
              PPV  0.8182 
              NPV  0.8621 
               F1  0.8438 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:04:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:04:50 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 13.34; System: 0.40) 
[2020-06-29 04:04:50 FUN] Running grid line #6 of 40... 
[2020-06-29 04:04:50 s.ADDTREE] Hello,  

[2020-06-29 04:04:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:04:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9062 
Balanced Accuracy  0.9209 
              PPV  0.9062 
              NPV  0.9355 
               F1  0.9206 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:04:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:04:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:04:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:04:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:05:00 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.41; User: 17.69; System: 0.58) 
[2020-06-29 04:05:00 FUN] Running grid line #7 of 40... 
[2020-06-29 04:05:00 s.ADDTREE] Hello,  

[2020-06-29 04:05:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:05:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   7
                0   3  25

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.7812 
Balanced Accuracy  0.8406 
              PPV  0.7941 
              NPV  0.8929 
               F1  0.8438 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:05:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:05:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:05:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:05:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:05:09 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.36; User: 13.83; System: 0.39) 
[2020-06-29 04:05:09 FUN] Running grid line #8 of 40... 
[2020-06-29 04:05:09 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:05:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7742 
Balanced Accuracy  0.8548 
              PPV  0.8056 
              NPV  0.9231 
               F1  0.8657 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:05:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:05:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:05:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:05:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:05:18 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.92; User: 14.88; System: 0.50) 
[2020-06-29 04:05:18 FUN] Running grid line #9 of 40... 
[2020-06-29 04:05:18 s.ADDTREE] Hello,  

[2020-06-29 04:05:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:05:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   5
                0   7  27

                   Overall  
      Sensitivity  0.7742 
      Specificity  0.8438 
Balanced Accuracy  0.8090 
              PPV  0.8276 
              NPV  0.7941 
               F1  0.8000 
         Accuracy  0.8095 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:05:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:05:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:05:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:05:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:05:24 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.21; User: 9.39; System: 0.40) 
[2020-06-29 04:05:24 FUN] Running grid line #10 of 40... 
[2020-06-29 04:05:24 s.ADDTREE] Hello,  

[2020-06-29 04:05:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:05:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   3  28

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9032 
Balanced Accuracy  0.9016 
              PPV  0.9000 
              NPV  0.9032 
               F1  0.9000 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:05:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:05:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:05:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:05:32 s.ADDTREE] Pruning tree... 

[2020-06-29 04:05:33 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.04; User: 14.80; System: 0.66) 
[2020-06-29 04:05:33 FUN] Running grid line #11 of 40... 
[2020-06-29 04:05:33 s.ADDTREE] Hello,  

[2020-06-29 04:05:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:05:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   5
                0   2  26

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8387 
Balanced Accuracy  0.8860 
              PPV  0.8485 
              NPV  0.9286 
               F1  0.8889 
         Accuracy  0.8852 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5714 
              NPV  1.0000 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:05:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:05:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:05:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:06:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:06:39 s.ADDTREE] Run completed in 1.09 minutes (Real: 65.41; User: 123.02; System: 3.79) 
[2020-06-29 04:06:39 FUN] Running grid line #12 of 40... 
[2020-06-29 04:06:39 s.ADDTREE] Hello,  

[2020-06-29 04:06:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:06:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  32

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9667 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:06:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:06:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:06:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:06:49 s.ADDTREE] Pruning tree... 

[2020-06-29 04:06:52 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.59; User: 21.97; System: 0.46) 
[2020-06-29 04:06:52 FUN] Running grid line #13 of 40... 
[2020-06-29 04:06:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:06:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   3  28

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9032 
Balanced Accuracy  0.9032 
              PPV  0.9032 
              NPV  0.9032 
               F1  0.9032 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:06:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:06:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:06:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:06:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:07:00 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.56; User: 14.08; System: 0.39) 
[2020-06-29 04:07:00 FUN] Running grid line #14 of 40... 
[2020-06-29 04:07:00 s.ADDTREE] Hello,  

[2020-06-29 04:07:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:07:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  31

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9688 
Balanced Accuracy  0.9844 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:07:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:07:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:07:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:07:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:07:11 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.19; User: 19.41; System: 0.61) 
[2020-06-29 04:07:12 FUN] Running grid line #15 of 40... 
[2020-06-29 04:07:12 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:07:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   4
                0   4  27

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.8710 
Balanced Accuracy  0.8710 
              PPV  0.8710 
              NPV  0.8710 
               F1  0.8710 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:07:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:07:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:07:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:07:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:07:22 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.14; User: 16.86; System: 0.41) 
[2020-06-29 04:07:22 FUN] Running grid line #16 of 40... 
[2020-06-29 04:07:22 s.ADDTREE] Hello,  

[2020-06-29 04:07:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:07:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9688 
Balanced Accuracy  0.9521 
              PPV  0.9667 
              NPV  0.9394 
               F1  0.9508 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:07:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:07:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:07:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:07:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:07:36 s.ADDTREE] Run completed in 0.23 minutes (Real: 14; User: 24.58; System: 0.74) 
[2020-06-29 04:07:36 FUN] Running grid line #17 of 40... 
[2020-06-29 04:07:36 s.ADDTREE] Hello,  

[2020-06-29 04:07:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:07:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   3  29

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9062 
Balanced Accuracy  0.9031 
              PPV  0.9000 
              NPV  0.9062 
               F1  0.9000 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:07:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:07:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:07:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:07:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:07:48 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.73; User: 20.58; System: 0.57) 
[2020-06-29 04:07:48 FUN] Running grid line #18 of 40... 
[2020-06-29 04:07:48 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:07:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9688 
              NPV  1.0000 
               F1  0.9841 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:07:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:07:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:07:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:06 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.50; User: 32.72; System: 0.80) 
[2020-06-29 04:08:06 FUN] Running grid line #19 of 40... 
[2020-06-29 04:08:06 s.ADDTREE] Hello,  

[2020-06-29 04:08:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:08:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   2
                0   4  30

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.9375 
Balanced Accuracy  0.9042 
              PPV  0.9310 
              NPV  0.8824 
               F1  0.9000 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:08:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:08:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:08:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:18 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.85; User: 18.36; System: 0.53) 
[2020-06-29 04:08:18 FUN] Running grid line #20 of 40... 
[2020-06-29 04:08:18 s.ADDTREE] Hello,  

[2020-06-29 04:08:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:08:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   3  30

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9677 
Balanced Accuracy  0.9339 
              PPV  0.9643 
              NPV  0.9091 
               F1  0.9310 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:08:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:08:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:08:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:31 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.58; User: 21.69; System: 0.58) 
[2020-06-29 04:08:31 FUN] Running grid line #21 of 40... 
[2020-06-29 04:08:31 s.ADDTREE] Hello,  

[2020-06-29 04:08:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:08:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   2  30

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9677 
Balanced Accuracy  0.9505 
              PPV  0.9655 
              NPV  0.9375 
               F1  0.9492 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:08:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:08:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:08:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:42 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.64; User: 17.51; System: 0.57) 
[2020-06-29 04:08:42 FUN] Running grid line #22 of 40... 
[2020-06-29 04:08:42 s.ADDTREE] Hello,  

[2020-06-29 04:08:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:08:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9375 
Balanced Accuracy  0.9365 
              PPV  0.9355 
              NPV  0.9375 
               F1  0.9355 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:08:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:08:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:08:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:52 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.34; User: 17.27; System: 0.45) 
[2020-06-29 04:08:52 FUN] Running grid line #23 of 40... 
[2020-06-29 04:08:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:08:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:08:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:08:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:08:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:08:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:08:58 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.29; User: 7.67; System: 0.36) 
[2020-06-29 04:08:58 FUN] Running grid line #24 of 40... 
[2020-06-29 04:08:58 s.ADDTREE] Hello,  

[2020-06-29 04:08:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:08:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  31

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9688 
Balanced Accuracy  0.9844 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:09:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:06 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.50; User: 13.86; System: 0.52) 
[2020-06-29 04:09:06 FUN] Running grid line #25 of 40... 
[2020-06-29 04:09:06 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:09:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:09:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:12 s.ADDTREE] Run completed in 0.10 minutes (Real: 6; User: 9.13; System: 0.31) 
[2020-06-29 04:09:12 FUN] Running grid line #26 of 40... 
[2020-06-29 04:09:12 s.ADDTREE] Hello,  

[2020-06-29 04:09:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:09:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9688 
Balanced Accuracy  0.9521 
              PPV  0.9667 
              NPV  0.9394 
               F1  0.9508 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:09:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:22 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.56; User: 16.12; System: 0.32) 
[2020-06-29 04:09:22 FUN] Running grid line #27 of 40... 
[2020-06-29 04:09:22 s.ADDTREE] Hello,  

[2020-06-29 04:09:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:09:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   1  31

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9688 
Balanced Accuracy  0.9677 
              PPV  0.9667 
              NPV  0.9688 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:09:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:32 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:34 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.87; User: 20.11; System: 0.59) 
[2020-06-29 04:09:34 FUN] Running grid line #28 of 40... 
[2020-06-29 04:09:34 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:09:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9688 
              NPV  1.0000 
               F1  0.9841 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:09:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:42 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.89; User: 13.22; System: 0.37) 
[2020-06-29 04:09:42 FUN] Running grid line #29 of 40... 
[2020-06-29 04:09:42 s.ADDTREE] Hello,  

[2020-06-29 04:09:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:09:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:09:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:49 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.13; User: 11.34; System: 0.42) 
[2020-06-29 04:09:49 FUN] Running grid line #30 of 40... 
[2020-06-29 04:09:49 s.ADDTREE] Hello,  

[2020-06-29 04:09:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:09:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  1.0000 
Balanced Accuracy  0.9667 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9655 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:09:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:09:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:09:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:09:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:09:59 s.ADDTREE] Run completed in 0.17 minutes (Real: 10; User: 16.64; System: 0.53) 
[2020-06-29 04:09:59 FUN] Running grid line #31 of 40... 
[2020-06-29 04:09:59 s.ADDTREE] Hello,  

[2020-06-29 04:09:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:10:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  20
                0  16  11

                   Overall  
      Sensitivity  0.4667 
      Specificity  0.3548 
Balanced Accuracy  0.4108 
              PPV  0.4118 
              NPV  0.4074 
               F1  0.4375 
         Accuracy  0.4098 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  4  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 04:10:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:03 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:03 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.97; User: 5.11; System: 0.24) 
[2020-06-29 04:10:03 FUN] Running grid line #32 of 40... 
[2020-06-29 04:10:04 s.ADDTREE] Hello,  

[2020-06-29 04:10:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:10:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  26
                0  16   6

                   Overall  
      Sensitivity  0.4839 
      Specificity  0.1875 
Balanced Accuracy  0.3357 
              PPV  0.3659 
              NPV  0.2727 
               F1  0.4167 
         Accuracy  0.3333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:10:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:10 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.47; User: 9.91; System: 0.48) 
[2020-06-29 04:10:10 FUN] Running grid line #33 of 40... 
[2020-06-29 04:10:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:10:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19  22
                0  12   9

                   Overall  
      Sensitivity  0.6129 
      Specificity  0.2903 
Balanced Accuracy  0.4516 
              PPV  0.4634 
              NPV  0.4286 
               F1  0.5278 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.5000 
Balanced Accuracy  0.4167 
              PPV  0.3333 
              NPV  0.5000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:10:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:16 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.20; User: 9.54; System: 0.40) 
[2020-06-29 04:10:16 FUN] Running grid line #34 of 40... 
[2020-06-29 04:10:16 s.ADDTREE] Hello,  

[2020-06-29 04:10:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:10:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  28
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1250 
Balanced Accuracy  0.5625 
              PPV  0.5172 
              NPV  1.0000 
               F1  0.6818 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5714 
              NPV  NA     
               F1  0.7273 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:10:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:19 s.ADDTREE] Run completed in 0.05 minutes (Real: 3; User: 3.41; System: 0.32) 
[2020-06-29 04:10:19 FUN] Running grid line #35 of 40... 
[2020-06-29 04:10:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:10:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   9
                0  18  22

                   Overall  
      Sensitivity  0.4194 
      Specificity  0.7097 
Balanced Accuracy  0.5645 
              PPV  0.5909 
              NPV  0.5500 
               F1  0.4906 
         Accuracy  0.5645 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  4

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:10:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:26 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.40; User: 9.67; System: 0.30) 
[2020-06-29 04:10:26 FUN] Running grid line #36 of 40... 
[2020-06-29 04:10:26 s.ADDTREE] Hello,  

[2020-06-29 04:10:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:10:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  19
                0  16  13

                   Overall  
      Sensitivity  0.4839 
      Specificity  0.4062 
Balanced Accuracy  0.4451 
              PPV  0.4412 
              NPV  0.4483 
               F1  0.4615 
         Accuracy  0.4444 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:10:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:32 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.85; User: 8.55; System: 0.30) 
[2020-06-29 04:10:32 FUN] Running grid line #37 of 40... 
[2020-06-29 04:10:32 s.ADDTREE] Hello,  

[2020-06-29 04:10:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:10:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  27
                0  21   5

                   Overall  
      Sensitivity  0.3000 
      Specificity  0.1562 
Balanced Accuracy  0.2281 
              PPV  0.2500 
              NPV  0.1923 
               F1  0.2727 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  0

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.0000 
Balanced Accuracy  0.1250 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 04:10:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:36 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.03; User: 5.25; System: 0.30) 
[2020-06-29 04:10:36 FUN] Running grid line #38 of 40... 
[2020-06-29 04:10:36 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:10:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  28
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0968 
Balanced Accuracy  0.5484 
              PPV  0.5254 
              NPV  1.0000 
               F1  0.6889 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:10:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:41 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.73; User: 6.52; System: 0.41) 
[2020-06-29 04:10:41 FUN] Running grid line #39 of 40... 
[2020-06-29 04:10:41 s.ADDTREE] Hello,  

[2020-06-29 04:10:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:10:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  28
                0  17   4

                   Overall  
      Sensitivity  0.4516 
      Specificity  0.1250 
Balanced Accuracy  0.2883 
              PPV  0.3333 
              NPV  0.1905 
               F1  0.3836 
         Accuracy  0.2857 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:10:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:46 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.95; User: 6.92; System: 0.34) 
[2020-06-29 04:10:46 FUN] Running grid line #40 of 40... 
[2020-06-29 04:10:46 s.ADDTREE] Hello,  

[2020-06-29 04:10:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:10:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  20
                0  18  11

                   Overall  
      Sensitivity  0.4000 
      Specificity  0.3548 
Balanced Accuracy  0.3774 
              PPV  0.3750 
              NPV  0.3793 
               F1  0.3871 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:10:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:10:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:10:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:10:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:10:51 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.28; User: 7.68; System: 0.36) 
[2020-06-29 04:11:00 FUN] Running grid line #1 of 40... 
[2020-06-29 04:11:00 s.ADDTREE] Hello,  

[2020-06-29 04:11:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:11:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   1  26

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.8387 
Balanced Accuracy  0.9027 
              PPV  0.8529 
              NPV  0.9630 
               F1  0.9062 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:11:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:11:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:11:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:11:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:11:11 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.22; User: 19.11; System: 0.64) 
[2020-06-29 04:11:11 FUN] Running grid line #2 of 40... 
[2020-06-29 04:11:11 s.ADDTREE] Hello,  

[2020-06-29 04:11:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:11:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   4  29

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.9062 
Balanced Accuracy  0.8886 
              PPV  0.9000 
              NPV  0.8788 
               F1  0.8852 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:11:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:11:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:11:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:11:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:11:21 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.91; User: 16.70; System: 0.42) 
[2020-06-29 04:11:21 FUN] Running grid line #3 of 40... 
[2020-06-29 04:11:21 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:11:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23   4
                0   8  27

                   Overall  
      Sensitivity  0.7419 
      Specificity  0.8710 
Balanced Accuracy  0.8065 
              PPV  0.8519 
              NPV  0.7714 
               F1  0.7931 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:11:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:11:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:11:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:11:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:11:31 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.72; User: 16.04; System: 0.30) 
[2020-06-29 04:11:31 FUN] Running grid line #4 of 40... 
[2020-06-29 04:11:31 s.ADDTREE] Hello,  

[2020-06-29 04:11:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:11:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   2
                0   5  30

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9375 
Balanced Accuracy  0.8854 
              PPV  0.9259 
              NPV  0.8571 
               F1  0.8772 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:11:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:11:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:11:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:12:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:12:10 s.ADDTREE] Run completed in 0.64 minutes (Real: 38.58; User: 71.32; System: 2.01) 
[2020-06-29 04:12:10 FUN] Running grid line #5 of 40... 
[2020-06-29 04:12:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:12:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   2
                0   3  29

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9355 
Balanced Accuracy  0.9194 
              PPV  0.9333 
              NPV  0.9062 
               F1  0.9180 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:12:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:12:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:12:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:12:22 s.ADDTREE] Pruning tree... 

[2020-06-29 04:12:24 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.62; User: 25.62; System: 0.67) 
[2020-06-29 04:12:24 FUN] Running grid line #6 of 40... 
[2020-06-29 04:12:25 s.ADDTREE] Hello,  

[2020-06-29 04:12:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:12:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   4  29

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.9062 
Balanced Accuracy  0.8886 
              PPV  0.9000 
              NPV  0.8788 
               F1  0.8852 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:12:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:12:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:12:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:12:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:12:35 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.08; User: 16.60; System: 0.41) 
[2020-06-29 04:12:35 FUN] Running grid line #7 of 40... 
[2020-06-29 04:12:35 s.ADDTREE] Hello,  

[2020-06-29 04:12:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:12:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   1
                0   4  31

                   Overall  
      Sensitivity  0.8667 
      Specificity  0.9688 
Balanced Accuracy  0.9177 
              PPV  0.9630 
              NPV  0.8857 
               F1  0.9123 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:12:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:12:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:12:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:12:47 s.ADDTREE] Pruning tree... 

[2020-06-29 04:12:50 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.26; User: 26.97; System: 0.70) 
[2020-06-29 04:12:50 FUN] Running grid line #8 of 40... 
[2020-06-29 04:12:50 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:12:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  25

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8065 
Balanced Accuracy  0.8710 
              PPV  0.8286 
              NPV  0.9259 
               F1  0.8788 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:12:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:12:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:12:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:12:58 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:00 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.70; User: 15.90; System: 0.42) 
[2020-06-29 04:13:00 FUN] Running grid line #9 of 40... 
[2020-06-29 04:13:00 s.ADDTREE] Hello,  

[2020-06-29 04:13:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:13:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   3  29

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9062 
Balanced Accuracy  0.9047 
              PPV  0.9032 
              NPV  0.9062 
               F1  0.9032 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:13:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:08 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.86; User: 12.46; System: 0.49) 
[2020-06-29 04:13:08 FUN] Running grid line #10 of 40... 
[2020-06-29 04:13:08 s.ADDTREE] Hello,  

[2020-06-29 04:13:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:13:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   3  28

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9032 
Balanced Accuracy  0.9016 
              PPV  0.9000 
              NPV  0.9032 
               F1  0.9000 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:13:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:19 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.22; User: 19.20; System: 0.55) 
[2020-06-29 04:13:19 FUN] Running grid line #11 of 40... 
[2020-06-29 04:13:19 s.ADDTREE] Hello,  

[2020-06-29 04:13:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:13:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19   0
                0  11  31

                   Overall  
      Sensitivity  0.6333 
      Specificity  1.0000 
Balanced Accuracy  0.8167 
              PPV  1.0000 
              NPV  0.7381 
               F1  0.7755 
         Accuracy  0.8197 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:13:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:27 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.18; User: 13.42; System: 0.34) 
[2020-06-29 04:13:27 FUN] Running grid line #12 of 40... 
[2020-06-29 04:13:28 s.ADDTREE] Hello,  

[2020-06-29 04:13:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:13:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9062 
Balanced Accuracy  0.9209 
              PPV  0.9062 
              NPV  0.9355 
               F1  0.9206 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:13:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:37 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:40 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.19; User: 20.95; System: 0.52) 
[2020-06-29 04:13:40 FUN] Running grid line #13 of 40... 
[2020-06-29 04:13:40 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:13:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   4
                0  11  27

                   Overall  
      Sensitivity  0.6452 
      Specificity  0.8710 
Balanced Accuracy  0.7581 
              PPV  0.8333 
              NPV  0.7105 
               F1  0.7273 
         Accuracy  0.7581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:13:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:13:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.28; User: 11.46; System: 0.45) 
[2020-06-29 04:13:47 FUN] Running grid line #14 of 40... 
[2020-06-29 04:13:47 s.ADDTREE] Hello,  

[2020-06-29 04:13:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:13:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9062 
Balanced Accuracy  0.9531 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:13:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:13:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:13:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:13:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:14:02 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.56; User: 25.61; System: 0.53) 
[2020-06-29 04:14:02 FUN] Running grid line #15 of 40... 
[2020-06-29 04:14:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:14:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   3  30

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9677 
Balanced Accuracy  0.9355 
              PPV  0.9655 
              NPV  0.9091 
               F1  0.9333 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:14:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:14:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:14:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:14:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:14:19 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.75; User: 30.24; System: 0.51) 
[2020-06-29 04:14:19 FUN] Running grid line #16 of 40... 
[2020-06-29 04:14:19 s.ADDTREE] Hello,  

[2020-06-29 04:14:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:14:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:14:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:14:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:14:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:14:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:14:29 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.50; User: 17.75; System: 0.40) 
[2020-06-29 04:14:29 FUN] Running grid line #17 of 40... 
[2020-06-29 04:14:29 s.ADDTREE] Hello,  

[2020-06-29 04:14:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:14:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   1  32

                   Overall  
      Sensitivity  0.9667 
      Specificity  1.0000 
Balanced Accuracy  0.9833 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9831 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:14:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:14:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:14:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:14:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:14:43 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.33; User: 22.89; System: 0.64) 
[2020-06-29 04:14:43 FUN] Running grid line #18 of 40... 
[2020-06-29 04:14:43 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:14:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   4
                0   2  27

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8710 
Balanced Accuracy  0.9032 
              PPV  0.8788 
              NPV  0.9310 
               F1  0.9062 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:14:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:14:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:14:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:14:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:14:52 s.ADDTREE] Run completed in 0.15 minutes (Real: 9; User: 15.14; System: 0.45) 
[2020-06-29 04:14:52 FUN] Running grid line #19 of 40... 
[2020-06-29 04:14:52 s.ADDTREE] Hello,  

[2020-06-29 04:14:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:14:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  29

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9062 
Balanced Accuracy  0.9370 
              PPV  0.9091 
              NPV  0.9667 
               F1  0.9375 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:14:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:14:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:14:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:14:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:01 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.47; User: 15.52; System: 0.61) 
[2020-06-29 04:15:02 FUN] Running grid line #20 of 40... 
[2020-06-29 04:15:02 s.ADDTREE] Hello,  

[2020-06-29 04:15:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:15:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  29

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9355 
Balanced Accuracy  0.9511 
              PPV  0.9355 
              NPV  0.9667 
               F1  0.9508 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:15:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.96; User: 14.98; System: 0.55) 
[2020-06-29 04:15:11 FUN] Running grid line #21 of 40... 
[2020-06-29 04:15:11 s.ADDTREE] Hello,  

[2020-06-29 04:15:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:15:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19   0
                0  11  31

                   Overall  
      Sensitivity  0.6333 
      Specificity  1.0000 
Balanced Accuracy  0.8167 
              PPV  1.0000 
              NPV  0.7381 
               F1  0.7755 
         Accuracy  0.8197 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:15:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:17 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.14; User: 9.61; System: 0.26) 
[2020-06-29 04:15:17 FUN] Running grid line #22 of 40... 
[2020-06-29 04:15:17 s.ADDTREE] Hello,  

[2020-06-29 04:15:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:15:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.8750 
Balanced Accuracy  0.9214 
              PPV  0.8824 
              NPV  0.9655 
               F1  0.9231 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:15:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:24 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.03; User: 11.08; System: 0.41) 
[2020-06-29 04:15:24 FUN] Running grid line #23 of 40... 
[2020-06-29 04:15:24 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:15:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   0
                0  11  31

                   Overall  
      Sensitivity  0.6452 
      Specificity  1.0000 
Balanced Accuracy  0.8226 
              PPV  1.0000 
              NPV  0.7381 
               F1  0.7843 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:15:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:30 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.28; User: 9.42; System: 0.30) 
[2020-06-29 04:15:30 FUN] Running grid line #24 of 40... 
[2020-06-29 04:15:30 s.ADDTREE] Hello,  

[2020-06-29 04:15:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:15:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   3  31

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9688 
Balanced Accuracy  0.9344 
              PPV  0.9643 
              NPV  0.9118 
               F1  0.9310 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:15:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:38 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:40 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.25; User: 15.55; System: 0.36) 
[2020-06-29 04:15:40 FUN] Running grid line #25 of 40... 
[2020-06-29 04:15:40 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:15:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   0
                0  10  31

                   Overall  
      Sensitivity  0.6774 
      Specificity  1.0000 
Balanced Accuracy  0.8387 
              PPV  1.0000 
              NPV  0.7561 
               F1  0.8077 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:15:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:47 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.55; User: 12.28; System: 0.38) 
[2020-06-29 04:15:47 FUN] Running grid line #26 of 40... 
[2020-06-29 04:15:47 s.ADDTREE] Hello,  

[2020-06-29 04:15:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:15:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   1
                0   7  31

                   Overall  
      Sensitivity  0.7742 
      Specificity  0.9688 
Balanced Accuracy  0.8715 
              PPV  0.9600 
              NPV  0.8158 
               F1  0.8571 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:15:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:15:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:15:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:15:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:15:56 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.34; User: 13.78; System: 0.47) 
[2020-06-29 04:15:56 FUN] Running grid line #27 of 40... 
[2020-06-29 04:15:56 s.ADDTREE] Hello,  

[2020-06-29 04:15:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:15:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9688 
Balanced Accuracy  0.9510 
              PPV  0.9655 
              NPV  0.9394 
               F1  0.9492 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:16:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:04 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.55; User: 12.20; System: 0.36) 
[2020-06-29 04:16:04 FUN] Running grid line #28 of 40... 
[2020-06-29 04:16:04 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:16:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   5
                0   1  26

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.8387 
Balanced Accuracy  0.9032 
              PPV  0.8571 
              NPV  0.9630 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:16:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:09 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.23; User: 7.31; System: 0.25) 
[2020-06-29 04:16:09 FUN] Running grid line #29 of 40... 
[2020-06-29 04:16:09 s.ADDTREE] Hello,  

[2020-06-29 04:16:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:16:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:16:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:17 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.83; User: 12.79; System: 0.31) 
[2020-06-29 04:16:17 FUN] Running grid line #30 of 40... 
[2020-06-29 04:16:17 s.ADDTREE] Hello,  

[2020-06-29 04:16:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:16:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   1  31

                   Overall  
      Sensitivity  0.9667 
      Specificity  1.0000 
Balanced Accuracy  0.9833 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9831 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:16:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:22 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:24 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.67; User: 10.33; System: 0.35) 
[2020-06-29 04:16:24 FUN] Running grid line #31 of 40... 
[2020-06-29 04:16:24 s.ADDTREE] Hello,  

[2020-06-29 04:16:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:16:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  18
                0  20  13

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.4194 
Balanced Accuracy  0.3763 
              PPV  0.3571 
              NPV  0.3939 
               F1  0.3448 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 04:16:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:28 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.07; User: 5.36; System: 0.29) 
[2020-06-29 04:16:28 FUN] Running grid line #32 of 40... 
[2020-06-29 04:16:28 s.ADDTREE] Hello,  

[2020-06-29 04:16:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:16:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   6
                0  28  26

                   Overall  
      Sensitivity  0.0968 
      Specificity  0.8125 
Balanced Accuracy  0.4546 
              PPV  0.3333 
              NPV  0.4815 
               F1  0.1500 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:16:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:31 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.44; User: 3.97; System: 0.30) 
[2020-06-29 04:16:31 FUN] Running grid line #33 of 40... 
[2020-06-29 04:16:31 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:16:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  23
                0  11   8

                   Overall  
      Sensitivity  0.6452 
      Specificity  0.2581 
Balanced Accuracy  0.4516 
              PPV  0.4651 
              NPV  0.4211 
               F1  0.5405 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:16:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:37 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.32; User: 7.71; System: 0.35) 
[2020-06-29 04:16:37 FUN] Running grid line #34 of 40... 
[2020-06-29 04:16:37 s.ADDTREE] Hello,  

[2020-06-29 04:16:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:16:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18   8
                0  12  24

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.7500 
Balanced Accuracy  0.6750 
              PPV  0.6923 
              NPV  0.6667 
               F1  0.6429 
         Accuracy  0.6774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:16:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:42 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.03; User: 7.08; System: 0.47) 
[2020-06-29 04:16:42 FUN] Running grid line #35 of 40... 
[2020-06-29 04:16:42 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:16:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   0   7
                0  31  24

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.7742 
Balanced Accuracy  0.3871 
              PPV  0.0000 
              NPV  0.4364 
               F1  NA     
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.7500 
Balanced Accuracy  0.3750 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:16:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:46 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.93; User: 5.41; System: 0.28) 
[2020-06-29 04:16:46 FUN] Running grid line #36 of 40... 
[2020-06-29 04:16:46 s.ADDTREE] Hello,  

[2020-06-29 04:16:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:16:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4  11
                0  27  21

                   Overall  
      Sensitivity  0.1290 
      Specificity  0.6562 
Balanced Accuracy  0.3926 
              PPV  0.2667 
              NPV  0.4375 
               F1  0.1739 
         Accuracy  0.3968 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:16:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:16:53 s.ADDTREE] Pruning tree... 

[2020-06-29 04:16:54 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.97; User: 12.82; System: 0.42) 
[2020-06-29 04:16:54 FUN] Running grid line #37 of 40... 
[2020-06-29 04:16:54 s.ADDTREE] Hello,  

[2020-06-29 04:16:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:16:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13  15
                0  17  17

                   Overall  
      Sensitivity  0.4333 
      Specificity  0.5312 
Balanced Accuracy  0.4823 
              PPV  0.4643 
              NPV  0.5000 
               F1  0.4483 
         Accuracy  0.4839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:16:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:16:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:16:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:00 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:02 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.52; User: 11.98; System: 0.36) 
[2020-06-29 04:17:02 FUN] Running grid line #38 of 40... 
[2020-06-29 04:17:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:17:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2  15
                0  29  16

                   Overall  
      Sensitivity  0.0645 
      Specificity  0.5161 
Balanced Accuracy  0.2903 
              PPV  0.1176 
              NPV  0.3556 
               F1  0.0833 
         Accuracy  0.2903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.7500 
Balanced Accuracy  0.3750 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:17:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:06 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:06 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.14; User: 5.64; System: 0.33) 
[2020-06-29 04:17:06 FUN] Running grid line #39 of 40... 
[2020-06-29 04:17:06 s.ADDTREE] Hello,  

[2020-06-29 04:17:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:17:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4  12
                0  27  20

                   Overall  
      Sensitivity  0.1290 
      Specificity  0.6250 
Balanced Accuracy  0.3770 
              PPV  0.2500 
              NPV  0.4255 
               F1  0.1702 
         Accuracy  0.3810 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:17:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:10 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:10 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.76; User: 4.83; System: 0.26) 
[2020-06-29 04:17:10 FUN] Running grid line #40 of 40... 
[2020-06-29 04:17:10 s.ADDTREE] Hello,  

[2020-06-29 04:17:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:17:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   7
                0  21  24

                   Overall  
      Sensitivity  0.3000 
      Specificity  0.7742 
Balanced Accuracy  0.5371 
              PPV  0.5625 
              NPV  0.5333 
               F1  0.3913 
         Accuracy  0.5410 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:17:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:14 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:15 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.83; User: 6.72; System: 0.20) 
[2020-06-29 04:17:27 FUN] Running grid line #1 of 40... 
[2020-06-29 04:17:27 s.ADDTREE] Hello,  

[2020-06-29 04:17:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:17:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   8
                0   0  23

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7419 
Balanced Accuracy  0.8710 
              PPV  0.7895 
              NPV  1.0000 
               F1  0.8824 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:17:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:36 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.92; User: 14.58; System: 0.73) 
[2020-06-29 04:17:36 FUN] Running grid line #2 of 40... 
[2020-06-29 04:17:36 s.ADDTREE] Hello,  

[2020-06-29 04:17:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:17:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   2
                0   6  30

                   Overall  
      Sensitivity  0.8065 
      Specificity  0.9375 
Balanced Accuracy  0.8720 
              PPV  0.9259 
              NPV  0.8333 
               F1  0.8621 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:17:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:44 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.29; User: 13.75; System: 0.38) 
[2020-06-29 04:17:44 FUN] Running grid line #3 of 40... 
[2020-06-29 04:17:44 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:17:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  25

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8065 
Balanced Accuracy  0.8710 
              PPV  0.8286 
              NPV  0.9259 
               F1  0.8788 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:17:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:17:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:17:53 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.98; User: 15.22; System: 0.43) 
[2020-06-29 04:17:53 FUN] Running grid line #4 of 40... 
[2020-06-29 04:17:53 s.ADDTREE] Hello,  

[2020-06-29 04:17:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:17:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   3  29

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9062 
Balanced Accuracy  0.9031 
              PPV  0.9000 
              NPV  0.9062 
               F1  0.9000 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:17:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:17:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:17:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:00 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:02 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.42; User: 14; System: 0.48) 
[2020-06-29 04:18:02 FUN] Running grid line #5 of 40... 
[2020-06-29 04:18:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:18:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   4
                0   5  27

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8710 
Balanced Accuracy  0.8548 
              PPV  0.8667 
              NPV  0.8438 
               F1  0.8525 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:18:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.10; User: 15.17; System: 0.50) 
[2020-06-29 04:18:11 FUN] Running grid line #6 of 40... 
[2020-06-29 04:18:11 s.ADDTREE] Hello,  

[2020-06-29 04:18:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:18:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   6
                0   4  26

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.8125 
Balanced Accuracy  0.8417 
              PPV  0.8182 
              NPV  0.8667 
               F1  0.8438 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:18:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:20 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.55; User: 15.97; System: 0.35) 
[2020-06-29 04:18:20 FUN] Running grid line #7 of 40... 
[2020-06-29 04:18:20 s.ADDTREE] Hello,  

[2020-06-29 04:18:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:18:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   5
                0   3  27

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.8438 
Balanced Accuracy  0.8719 
              PPV  0.8438 
              NPV  0.9000 
               F1  0.8710 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:18:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:30 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.53; User: 15.86; System: 0.39) 
[2020-06-29 04:18:30 FUN] Running grid line #8 of 40... 
[2020-06-29 04:18:30 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:18:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   5
                0   3  26

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.8387 
Balanced Accuracy  0.8710 
              PPV  0.8485 
              NPV  0.8966 
               F1  0.8750 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:18:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:38 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:40 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.50; User: 16.15; System: 0.27) 
[2020-06-29 04:18:40 FUN] Running grid line #9 of 40... 
[2020-06-29 04:18:40 s.ADDTREE] Hello,  

[2020-06-29 04:18:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:18:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   5
                0   5  27

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8438 
Balanced Accuracy  0.8412 
              PPV  0.8387 
              NPV  0.8438 
               F1  0.8387 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:18:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:49 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.70; User: 16.11; System: 0.53) 
[2020-06-29 04:18:50 FUN] Running grid line #10 of 40... 
[2020-06-29 04:18:50 s.ADDTREE] Hello,  

[2020-06-29 04:18:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:18:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   5
                0   4  26

                   Overall  
      Sensitivity  0.8667 
      Specificity  0.8387 
Balanced Accuracy  0.8527 
              PPV  0.8387 
              NPV  0.8667 
               F1  0.8525 
         Accuracy  0.8525 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:18:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:18:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:18:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:18:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:18:59 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.03; User: 14.84; System: 0.69) 
[2020-06-29 04:18:59 FUN] Running grid line #11 of 40... 
[2020-06-29 04:18:59 s.ADDTREE] Hello,  

[2020-06-29 04:18:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:18:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9355 
Balanced Accuracy  0.9677 
              PPV  0.9375 
              NPV  1.0000 
               F1  0.9677 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:19:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:19:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:19:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:19:06 s.ADDTREE] Pruning tree... 

[2020-06-29 04:19:08 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.76; User: 14.55; System: 0.50) 
[2020-06-29 04:19:08 FUN] Running grid line #12 of 40... 
[2020-06-29 04:19:08 s.ADDTREE] Hello,  

[2020-06-29 04:19:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:19:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  32

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9667 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:19:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:19:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:19:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:19:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:19:20 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.98; User: 20.86; System: 0.45) 
[2020-06-29 04:19:20 FUN] Running grid line #13 of 40... 
[2020-06-29 04:19:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:19:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  29

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9355 
Balanced Accuracy  0.9516 
              PPV  0.9375 
              NPV  0.9667 
               F1  0.9524 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.2500 
Balanced Accuracy  0.4583 
              PPV  0.4000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:19:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:19:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:19:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:19:30 s.ADDTREE] Pruning tree... 

[2020-06-29 04:19:32 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.64; User: 21.93; System: 0.53) 
[2020-06-29 04:19:32 FUN] Running grid line #14 of 40... 
[2020-06-29 04:19:32 s.ADDTREE] Hello,  

[2020-06-29 04:19:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:19:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   3  31

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9688 
Balanced Accuracy  0.9344 
              PPV  0.9643 
              NPV  0.9118 
               F1  0.9310 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:19:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:19:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:19:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:19:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:19:42 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.60; User: 16.11; System: 0.47) 
[2020-06-29 04:19:42 FUN] Running grid line #15 of 40... 
[2020-06-29 04:19:42 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:19:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   3  30

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9677 
Balanced Accuracy  0.9355 
              PPV  0.9655 
              NPV  0.9091 
               F1  0.9333 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:19:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:19:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:19:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:19:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:19:54 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.18; User: 20.99; System: 0.39) 
[2020-06-29 04:19:54 FUN] Running grid line #16 of 40... 
[2020-06-29 04:19:54 s.ADDTREE] Hello,  

[2020-06-29 04:19:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:19:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:20:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:20:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:20:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:20:04 s.ADDTREE] Pruning tree... 

[2020-06-29 04:20:07 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.21; User: 20.34; System: 0.56) 
[2020-06-29 04:20:07 FUN] Running grid line #17 of 40... 
[2020-06-29 04:20:07 s.ADDTREE] Hello,  

[2020-06-29 04:20:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:20:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   3
                0   3  29

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9062 
Balanced Accuracy  0.9031 
              PPV  0.9000 
              NPV  0.9062 
               F1  0.9000 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:20:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:20:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:20:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:20:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:20:19 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.83; User: 20.37; System: 0.56) 
[2020-06-29 04:20:19 FUN] Running grid line #18 of 40... 
[2020-06-29 04:20:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:20:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   3  31

                   Overall  
      Sensitivity  0.9032 
      Specificity  1.0000 
Balanced Accuracy  0.9516 
              PPV  1.0000 
              NPV  0.9118 
               F1  0.9492 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:20:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:20:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:20:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:20:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:20:31 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.25; User: 21.22; System: 0.50) 
[2020-06-29 04:20:31 FUN] Running grid line #19 of 40... 
[2020-06-29 04:20:31 s.ADDTREE] Hello,  

[2020-06-29 04:20:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:20:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  29

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9062 
Balanced Accuracy  0.9370 
              PPV  0.9091 
              NPV  0.9667 
               F1  0.9375 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:20:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:20:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:20:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:20:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:20:44 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.44; User: 21.53; System: 0.67) 
[2020-06-29 04:20:44 FUN] Running grid line #20 of 40... 
[2020-06-29 04:20:44 s.ADDTREE] Hello,  

[2020-06-29 04:20:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:20:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  1.0000 
Balanced Accuracy  0.9667 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9655 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:20:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:20:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:20:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:20:53 s.ADDTREE] Pruning tree... 

[2020-06-29 04:20:56 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.07; User: 21.01; System: 0.52) 
[2020-06-29 04:20:56 FUN] Running grid line #21 of 40... 
[2020-06-29 04:20:56 s.ADDTREE] Hello,  

[2020-06-29 04:20:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:20:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9355 
Balanced Accuracy  0.9677 
              PPV  0.9375 
              NPV  1.0000 
               F1  0.9677 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:21:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:03 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.64; User: 12.27; System: 0.42) 
[2020-06-29 04:21:04 FUN] Running grid line #22 of 40... 
[2020-06-29 04:21:04 s.ADDTREE] Hello,  

[2020-06-29 04:21:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:21:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  32

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9836 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:21:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:12 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.43; User: 14.06; System: 0.33) 
[2020-06-29 04:21:12 FUN] Running grid line #23 of 40... 
[2020-06-29 04:21:12 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:21:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9677 
Balanced Accuracy  0.9677 
              PPV  0.9677 
              NPV  0.9677 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:21:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:20 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.66; User: 12.24; System: 0.39) 
[2020-06-29 04:21:20 FUN] Running grid line #24 of 40... 
[2020-06-29 04:21:20 s.ADDTREE] Hello,  

[2020-06-29 04:21:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:21:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   1
                0   6  31

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9688 
Balanced Accuracy  0.8844 
              PPV  0.9600 
              NPV  0.8378 
               F1  0.8727 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:21:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:27 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.03; User: 11.11; System: 0.36) 
[2020-06-29 04:21:27 FUN] Running grid line #25 of 40... 
[2020-06-29 04:21:27 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:21:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   2  26

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8387 
Balanced Accuracy  0.8871 
              PPV  0.8529 
              NPV  0.9286 
               F1  0.8923 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:21:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:34 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.43; User: 11.68; System: 0.36) 
[2020-06-29 04:21:35 FUN] Running grid line #26 of 40... 
[2020-06-29 04:21:35 s.ADDTREE] Hello,  

[2020-06-29 04:21:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:21:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  32

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9836 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:21:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:43 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.56; User: 14.14; System: 0.26) 
[2020-06-29 04:21:43 FUN] Running grid line #27 of 40... 
[2020-06-29 04:21:43 s.ADDTREE] Hello,  

[2020-06-29 04:21:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:21:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   1  32

                   Overall  
      Sensitivity  0.9667 
      Specificity  1.0000 
Balanced Accuracy  0.9833 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9831 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:21:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:21:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:21:54 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.53; User: 18.06; System: 0.50) 
[2020-06-29 04:21:54 FUN] Running grid line #28 of 40... 
[2020-06-29 04:21:54 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:21:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.5000 
Balanced Accuracy  0.4167 
              PPV  0.3333 
              NPV  0.5000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:21:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:21:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:21:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:00 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:02 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.80; User: 12.58; System: 0.41) 
[2020-06-29 04:22:02 FUN] Running grid line #29 of 40... 
[2020-06-29 04:22:02 s.ADDTREE] Hello,  

[2020-06-29 04:22:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:22:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9688 
Balanced Accuracy  0.9682 
              PPV  0.9677 
              NPV  0.9688 
               F1  0.9677 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:22:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:10 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.34; System: 0.48) 
[2020-06-29 04:22:10 FUN] Running grid line #30 of 40... 
[2020-06-29 04:22:10 s.ADDTREE] Hello,  

[2020-06-29 04:22:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:22:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  1.0000 
Balanced Accuracy  0.9667 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9655 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:22:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:19 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.50; User: 13.88; System: 0.47) 
[2020-06-29 04:22:19 FUN] Running grid line #31 of 40... 
[2020-06-29 04:22:19 s.ADDTREE] Hello,  

[2020-06-29 04:22:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:22:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  27
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1290 
Balanced Accuracy  0.5645 
              PPV  0.5263 
              NPV  1.0000 
               F1  0.6897 
         Accuracy  0.5574 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5714 
              NPV  1.0000 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:22:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:22 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:22 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.27; User: 3.74; System: 0.14) 
[2020-06-29 04:22:22 FUN] Running grid line #32 of 40... 
[2020-06-29 04:22:22 s.ADDTREE] Hello,  

[2020-06-29 04:22:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:22:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17   6
                0  14  26

                   Overall  
      Sensitivity  0.5484 
      Specificity  0.8125 
Balanced Accuracy  0.6804 
              PPV  0.7391 
              NPV  0.6500 
               F1  0.6296 
         Accuracy  0.6825 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:22:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:29 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.50; User: 10.02; System: 0.50) 
[2020-06-29 04:22:29 FUN] Running grid line #33 of 40... 
[2020-06-29 04:22:29 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:22:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23  18
                0   8  13

                   Overall  
      Sensitivity  0.7419 
      Specificity  0.4194 
Balanced Accuracy  0.5806 
              PPV  0.5610 
              NPV  0.6190 
               F1  0.6389 
         Accuracy  0.5806 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  4
                0  1  0

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.0000 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.0000 
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:22:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:22:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:22:34 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.89; User: 6.75; System: 0.34) 
[2020-06-29 04:22:34 FUN] Running grid line #34 of 40... 
[2020-06-29 04:22:34 s.ADDTREE] Hello,  

[2020-06-29 04:22:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:22:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  21
                0  20  11

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3438 
Balanced Accuracy  0.3385 
              PPV  0.3226 
              NPV  0.3548 
               F1  0.3279 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:22:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:22:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:22:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:15 s.ADDTREE] Run completed in 0.70 minutes (Real: 41.77; User: 77; System: 2.39) 
[2020-06-29 04:23:15 FUN] Running grid line #35 of 40... 
[2020-06-29 04:23:16 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:23:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17   4
                0  14  27

                   Overall  
      Sensitivity  0.5484 
      Specificity  0.8710 
Balanced Accuracy  0.7097 
              PPV  0.8095 
              NPV  0.6585 
               F1  0.6538 
         Accuracy  0.7097 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5714 
               F1  NA     
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:23:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:20 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.92; User: 7.12; System: 0.36) 
[2020-06-29 04:23:21 FUN] Running grid line #36 of 40... 
[2020-06-29 04:23:21 s.ADDTREE] Hello,  

[2020-06-29 04:23:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:23:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   0
                0  24  32

                   Overall  
      Sensitivity  0.2258 
      Specificity  1.0000 
Balanced Accuracy  0.6129 
              PPV  1.0000 
              NPV  0.5714 
               F1  0.3684 
         Accuracy  0.6190 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  3  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2500 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 04:23:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:24 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.72; User: 4.83; System: 0.26) 
[2020-06-29 04:23:24 FUN] Running grid line #37 of 40... 
[2020-06-29 04:23:24 s.ADDTREE] Hello,  

[2020-06-29 04:23:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:23:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  14
                0  19  18

                   Overall  
      Sensitivity  0.3667 
      Specificity  0.5625 
Balanced Accuracy  0.4646 
              PPV  0.4400 
              NPV  0.4865 
               F1  0.4000 
         Accuracy  0.4677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:23:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:30 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.67; User: 7.79; System: 0.45) 
[2020-06-29 04:23:30 FUN] Running grid line #38 of 40... 
[2020-06-29 04:23:30 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:23:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   6
                0  28  25

                   Overall  
      Sensitivity  0.0968 
      Specificity  0.8065 
Balanced Accuracy  0.4516 
              PPV  0.3333 
              NPV  0.4717 
               F1  0.1500 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.7500 
Balanced Accuracy  0.3750 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:23:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:35 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.24; User: 5.75; System: 0.28) 
[2020-06-29 04:23:35 FUN] Running grid line #39 of 40... 
[2020-06-29 04:23:35 s.ADDTREE] Hello,  

[2020-06-29 04:23:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:23:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  11
                0  19  21

                   Overall  
      Sensitivity  0.3871 
      Specificity  0.6562 
Balanced Accuracy  0.5217 
              PPV  0.5217 
              NPV  0.5250 
               F1  0.4444 
         Accuracy  0.5238 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:23:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:39 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:40 s.ADDTREE] Run completed in 0.08 minutes (Real: 5; User: 7.31; System: 0.27) 
[2020-06-29 04:23:40 FUN] Running grid line #40 of 40... 
[2020-06-29 04:23:40 s.ADDTREE] Hello,  

[2020-06-29 04:23:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:23:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   9
                0  22  22

                   Overall  
      Sensitivity  0.2667 
      Specificity  0.7097 
Balanced Accuracy  0.4882 
              PPV  0.4706 
              NPV  0.5000 
               F1  0.3404 
         Accuracy  0.4918 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  4

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5714 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:23:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:44 s.ADDTREE] Pruning tree... 

[2020-06-29 04:23:45 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.66; User: 8.47; System: 0.34) 
[2020-06-29 04:23:53 FUN] Running grid line #1 of 40... 
[2020-06-29 04:23:53 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:23:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   6
                0   3  25

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.8065 
Balanced Accuracy  0.8548 
              PPV  0.8235 
              NPV  0.8929 
               F1  0.8615 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:23:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:23:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:23:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:23:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:00 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.77; User: 12.53; System: 0.39) 
[2020-06-29 04:24:00 FUN] Running grid line #2 of 40... 
[2020-06-29 04:24:00 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:24:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   7
                0   4  25

                   Overall  
      Sensitivity  0.8750 
      Specificity  0.7812 
Balanced Accuracy  0.8281 
              PPV  0.8000 
              NPV  0.8621 
               F1  0.8358 
         Accuracy  0.8281 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:24:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:10 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.48; User: 15; System: 0.33) 
[2020-06-29 04:24:10 FUN] Running grid line #3 of 40... 
[2020-06-29 04:24:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:24:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   4
                0  11  27

                   Overall  
      Sensitivity  0.6452 
      Specificity  0.8710 
Balanced Accuracy  0.7581 
              PPV  0.8333 
              NPV  0.7105 
               F1  0.7273 
         Accuracy  0.7581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:24:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:19 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.81; User: 14.50; System: 0.48) 
[2020-06-29 04:24:19 FUN] Running grid line #4 of 40... 
[2020-06-29 04:24:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:24:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   7
                0   1  25

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.7812 
Balanced Accuracy  0.8750 
              PPV  0.8158 
              NPV  0.9615 
               F1  0.8857 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:24:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:26 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.43; User: 12; System: 0.41) 
[2020-06-29 04:24:27 FUN] Running grid line #5 of 40... 
[2020-06-29 04:24:27 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:24:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   4
                0  10  27

                   Overall  
      Sensitivity  0.6774 
      Specificity  0.8710 
Balanced Accuracy  0.7742 
              PPV  0.8400 
              NPV  0.7297 
               F1  0.7500 
         Accuracy  0.7742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:24:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:34 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.51; User: 12.22; System: 0.28) 
[2020-06-29 04:24:34 FUN] Running grid line #6 of 40... 
[2020-06-29 04:24:34 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:24:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   5
                0   8  27

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.8438 
Balanced Accuracy  0.7969 
              PPV  0.8276 
              NPV  0.7714 
               F1  0.7869 
         Accuracy  0.7969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:24:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:43 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.75; User: 14.40; System: 0.50) 
[2020-06-29 04:24:43 FUN] Running grid line #7 of 40... 
[2020-06-29 04:24:43 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:24:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   3  27

                   Overall  
      Sensitivity  0.9062 
      Specificity  0.8438 
Balanced Accuracy  0.8750 
              PPV  0.8529 
              NPV  0.9000 
               F1  0.8788 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:24:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:51 s.ADDTREE] Pruning tree... 

[2020-06-29 04:24:52 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.17; User: 15.31; System: 0.64) 
[2020-06-29 04:24:52 FUN] Running grid line #8 of 40... 
[2020-06-29 04:24:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:24:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   9
                0   1  22

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.7097 
Balanced Accuracy  0.8387 
              PPV  0.7692 
              NPV  0.9565 
               F1  0.8571 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:24:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:24:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:24:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:24:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:01 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.48; User: 13.56; System: 0.47) 
[2020-06-29 04:25:01 FUN] Running grid line #9 of 40... 
[2020-06-29 04:25:01 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:25:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   5
                0   8  27

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.8438 
Balanced Accuracy  0.7969 
              PPV  0.8276 
              NPV  0.7714 
               F1  0.7869 
         Accuracy  0.7969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:25:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:25:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:09 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.28; User: 13.62; System: 0.32) 
[2020-06-29 04:25:09 FUN] Running grid line #10 of 40... 
[2020-06-29 04:25:09 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:25:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  12
                0   2  19

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.6129 
Balanced Accuracy  0.7742 
              PPV  0.7073 
              NPV  0.9048 
               F1  0.8056 
         Accuracy  0.7742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:25:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:25:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:17 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.99; User: 12.95; System: 0.49) 
[2020-06-29 04:25:17 FUN] Running grid line #11 of 40... 
[2020-06-29 04:25:17 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:25:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9677 
Balanced Accuracy  0.9677 
              PPV  0.9677 
              NPV  0.9677 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:25:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:25:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:29 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.94; User: 20.67; System: 0.54) 
[2020-06-29 04:25:29 FUN] Running grid line #12 of 40... 
[2020-06-29 04:25:29 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:25:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   4
                0   4  28

                   Overall  
      Sensitivity  0.8750 
      Specificity  0.8750 
Balanced Accuracy  0.8750 
              PPV  0.8750 
              NPV  0.8750 
               F1  0.8750 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:25:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:25:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:43 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.87; User: 24.55; System: 0.44) 
[2020-06-29 04:25:43 FUN] Running grid line #13 of 40... 
[2020-06-29 04:25:43 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:25:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   0
                0  11  31

                   Overall  
      Sensitivity  0.6452 
      Specificity  1.0000 
Balanced Accuracy  0.8226 
              PPV  1.0000 
              NPV  0.7381 
               F1  0.7843 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:25:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:25:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:25:51 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.02; User: 13.16; System: 0.39) 
[2020-06-29 04:25:52 FUN] Running grid line #14 of 40... 
[2020-06-29 04:25:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:25:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   1  31

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.9688 
Balanced Accuracy  0.9688 
              PPV  0.9688 
              NPV  0.9688 
               F1  0.9688 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:25:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:25:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:25:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:26:00 s.ADDTREE] Pruning tree... 

[2020-06-29 04:26:01 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.82; User: 16.33; System: 0.50) 
[2020-06-29 04:26:01 FUN] Running grid line #15 of 40... 
[2020-06-29 04:26:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:26:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   2
                0  10  29

                   Overall  
      Sensitivity  0.6774 
      Specificity  0.9355 
Balanced Accuracy  0.8065 
              PPV  0.9130 
              NPV  0.7436 
               F1  0.7778 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:26:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:26:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:26:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:26:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:26:10 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.22; User: 13.22; System: 0.50) 
[2020-06-29 04:26:10 FUN] Running grid line #16 of 40... 
[2020-06-29 04:26:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:26:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   8
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:26:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:26:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:26:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:26:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:26:26 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.44; User: 29.26; System: 0.68) 
[2020-06-29 04:26:26 FUN] Running grid line #17 of 40... 
[2020-06-29 04:26:26 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:26:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   3  30

                   Overall  
      Sensitivity  0.9062 
      Specificity  0.9375 
Balanced Accuracy  0.9219 
              PPV  0.9355 
              NPV  0.9091 
               F1  0.9206 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:26:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:26:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:26:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:26:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:26:38 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.69; User: 19.63; System: 0.55) 
[2020-06-29 04:26:38 FUN] Running grid line #18 of 40... 
[2020-06-29 04:26:38 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:26:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   1  27

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.8710 
Balanced Accuracy  0.9194 
              PPV  0.8824 
              NPV  0.9643 
               F1  0.9231 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:26:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:26:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:26:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:26:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:26:51 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.46; User: 21.64; System: 0.51) 
[2020-06-29 04:26:51 FUN] Running grid line #19 of 40... 
[2020-06-29 04:26:51 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:26:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   1
                0   6  31

                   Overall  
      Sensitivity  0.8125 
      Specificity  0.9688 
Balanced Accuracy  0.8906 
              PPV  0.9630 
              NPV  0.8378 
               F1  0.8814 
         Accuracy  0.8906 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:26:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:26:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:26:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:04 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.75; User: 22.34; System: 0.63) 
[2020-06-29 04:27:04 FUN] Running grid line #20 of 40... 
[2020-06-29 04:27:04 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:27:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9355 
Balanced Accuracy  0.9355 
              PPV  0.9355 
              NPV  0.9355 
               F1  0.9355 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:27:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:12 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:14 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.97; User: 16.98; System: 0.28) 
[2020-06-29 04:27:14 FUN] Running grid line #21 of 40... 
[2020-06-29 04:27:14 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:27:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9677 
Balanced Accuracy  0.9516 
              PPV  0.9667 
              NPV  0.9375 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:27:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:21 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 12.23; System: 0.51) 
[2020-06-29 04:27:21 FUN] Running grid line #22 of 40... 
[2020-06-29 04:27:21 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:27:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   1  30

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.9375 
Balanced Accuracy  0.9531 
              PPV  0.9394 
              NPV  0.9677 
               F1  0.9538 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:27:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:30 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.06; User: 15.07; System: 0.44) 
[2020-06-29 04:27:30 FUN] Running grid line #23 of 40... 
[2020-06-29 04:27:31 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:27:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   0
                0  11  31

                   Overall  
      Sensitivity  0.6452 
      Specificity  1.0000 
Balanced Accuracy  0.8226 
              PPV  1.0000 
              NPV  0.7381 
               F1  0.7843 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:27:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:37 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.02; User: 9.23; System: 0.41) 
[2020-06-29 04:27:37 FUN] Running grid line #24 of 40... 
[2020-06-29 04:27:37 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:27:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   0  31

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9688 
Balanced Accuracy  0.9844 
              PPV  0.9697 
              NPV  1.0000 
               F1  0.9846 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:27:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:43 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.01; User: 9.36; System: 0.41) 
[2020-06-29 04:27:43 FUN] Running grid line #25 of 40... 
[2020-06-29 04:27:43 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:27:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   1
                0  10  30

                   Overall  
      Sensitivity  0.6774 
      Specificity  0.9677 
Balanced Accuracy  0.8226 
              PPV  0.9545 
              NPV  0.7500 
               F1  0.7925 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:27:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:49 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.95; User: 9.20; System: 0.24) 
[2020-06-29 04:27:49 FUN] Running grid line #26 of 40... 
[2020-06-29 04:27:49 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:27:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22   1
                0  10  31

                   Overall  
      Sensitivity  0.6875 
      Specificity  0.9688 
Balanced Accuracy  0.8281 
              PPV  0.9565 
              NPV  0.7561 
               F1  0.8000 
         Accuracy  0.8281 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:27:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:27:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:27:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:27:55 s.ADDTREE] Pruning tree... 

[2020-06-29 04:27:57 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 12.64; System: 0.39) 
[2020-06-29 04:27:57 FUN] Running grid line #27 of 40... 
[2020-06-29 04:27:57 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:27:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   1  30

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.9375 
Balanced Accuracy  0.9531 
              PPV  0.9394 
              NPV  0.9677 
               F1  0.9538 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:28:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:07 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.09; User: 16.96; System: 0.55) 
[2020-06-29 04:28:07 FUN] Running grid line #28 of 40... 
[2020-06-29 04:28:07 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:28:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9355 
Balanced Accuracy  0.9677 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:28:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:14 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.91; User: 10.84; System: 0.39) 
[2020-06-29 04:28:14 FUN] Running grid line #29 of 40... 
[2020-06-29 04:28:14 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:28:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   2  31

                   Overall  
      Sensitivity  0.9375 
      Specificity  0.9688 
Balanced Accuracy  0.9531 
              PPV  0.9677 
              NPV  0.9394 
               F1  0.9524 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:28:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:21 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:23 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.60; User: 14.46; System: 0.34) 
[2020-06-29 04:28:23 FUN] Running grid line #30 of 40... 
[2020-06-29 04:28:23 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:28:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:28:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:29 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:31 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.18; User: 13.39; System: 0.39) 
[2020-06-29 04:28:31 FUN] Running grid line #31 of 40... 
[2020-06-29 04:28:31 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:28:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0  20  25

                   Overall  
      Sensitivity  0.3548 
      Specificity  0.8065 
Balanced Accuracy  0.5806 
              PPV  0.6471 
              NPV  0.5556 
               F1  0.4583 
         Accuracy  0.5806 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:28:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:35 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.78; User: 4.96; System: 0.21) 
[2020-06-29 04:28:35 FUN] Running grid line #32 of 40... 
[2020-06-29 04:28:35 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:28:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  23
                0  22   9

                   Overall  
      Sensitivity  0.3125 
      Specificity  0.2812 
Balanced Accuracy  0.2969 
              PPV  0.3030 
              NPV  0.2903 
               F1  0.3077 
         Accuracy  0.2969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:28:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:38 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:38 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.41; User: 4.36; System: 0.31) 
[2020-06-29 04:28:38 FUN] Running grid line #33 of 40... 
[2020-06-29 04:28:38 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:28:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   0   0
                0  31  31

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:28:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:41 s.ADDTREE] Run completed in 0.05 minutes (Real: 2.92; User: 3.47; System: 0.27) 
[2020-06-29 04:28:41 FUN] Running grid line #34 of 40... 
[2020-06-29 04:28:41 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:28:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  17
                0  20  15

                   Overall  
      Sensitivity  0.3750 
      Specificity  0.4688 
Balanced Accuracy  0.4219 
              PPV  0.4138 
              NPV  0.4286 
               F1  0.3934 
         Accuracy  0.4219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:28:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:45 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.05; User: 5.45; System: 0.22) 
[2020-06-29 04:28:45 FUN] Running grid line #35 of 40... 
[2020-06-29 04:28:46 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:28:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   0   1
                0  31  30

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.9677 
Balanced Accuracy  0.4839 
              PPV  0.0000 
              NPV  0.4918 
               F1  NA     
         Accuracy  0.4839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:28:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:50 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.67; User: 6.61; System: 0.30) 
[2020-06-29 04:28:50 FUN] Running grid line #36 of 40... 
[2020-06-29 04:28:50 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:28:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   2
                0  28  30

                   Overall  
      Sensitivity  0.1250 
      Specificity  0.9375 
Balanced Accuracy  0.5312 
              PPV  0.6667 
              NPV  0.5172 
               F1  0.2105 
         Accuracy  0.5312 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:28:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:54 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.16; User: 5.65; System: 0.25) 
[2020-06-29 04:28:55 FUN] Running grid line #37 of 40... 
[2020-06-29 04:28:55 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:28:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   8
                0  18  24

                   Overall  
      Sensitivity  0.4375 
      Specificity  0.7500 
Balanced Accuracy  0.5938 
              PPV  0.6364 
              NPV  0.5714 
               F1  0.5185 
         Accuracy  0.5938 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  3  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.4000 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:28:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:28:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:28:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:28:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:28:59 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.72; User: 6.85; System: 0.36) 
[2020-06-29 04:28:59 FUN] Running grid line #38 of 40... 
[2020-06-29 04:28:59 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:29:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  28
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0968 
Balanced Accuracy  0.5484 
              PPV  0.5254 
              NPV  1.0000 
               F1  0.6889 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:29:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:03 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:03 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.63; User: 4.72; System: 0.25) 
[2020-06-29 04:29:03 FUN] Running grid line #39 of 40... 
[2020-06-29 04:29:03 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:29:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2   1
                0  30  31

                   Overall  
      Sensitivity  0.0625 
      Specificity  0.9688 
Balanced Accuracy  0.5156 
              PPV  0.6667 
              NPV  0.5082 
               F1  0.1143 
         Accuracy  0.5156 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:29:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:07 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.91; User: 5.08; System: 0.44) 
[2020-06-29 04:29:07 FUN] Running grid line #40 of 40... 
[2020-06-29 04:29:07 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:29:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19  27
                0  12   4

                   Overall  
      Sensitivity  0.6129 
      Specificity  0.1290 
Balanced Accuracy  0.3710 
              PPV  0.4130 
              NPV  0.2500 
               F1  0.4935 
         Accuracy  0.3710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:29:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:12 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:13 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.67; User: 8.68; System: 0.44) 
[2020-06-29 04:29:19 FUN] Running grid line #1 of 40... 
[2020-06-29 04:29:19 s.ADDTREE] Hello,  

[2020-06-29 04:29:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:29:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   4
                0   2  27

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8710 
Balanced Accuracy  0.9022 
              PPV  0.8750 
              NPV  0.9310 
               F1  0.9032 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:29:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:29 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.77; User: 16.61; System: 0.26) 
[2020-06-29 04:29:29 FUN] Running grid line #2 of 40... 
[2020-06-29 04:29:29 s.ADDTREE] Hello,  

[2020-06-29 04:29:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:29:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  26

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8125 
Balanced Accuracy  0.8740 
              PPV  0.8286 
              NPV  0.9286 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:29:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:37 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.11; System: 0.48) 
[2020-06-29 04:29:37 FUN] Running grid line #3 of 40... 
[2020-06-29 04:29:37 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:29:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  25

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8065 
Balanced Accuracy  0.8710 
              PPV  0.8286 
              NPV  0.9259 
               F1  0.8788 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:29:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:44 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.88; User: 10.82; System: 0.38) 
[2020-06-29 04:29:44 FUN] Running grid line #4 of 40... 
[2020-06-29 04:29:44 s.ADDTREE] Hello,  

[2020-06-29 04:29:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:29:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   5
                0   5  27

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.8438 
Balanced Accuracy  0.8385 
              PPV  0.8333 
              NPV  0.8438 
               F1  0.8333 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:29:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:29:51 s.ADDTREE] Pruning tree... 

[2020-06-29 04:29:52 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.09; User: 13.09; System: 0.50) 
[2020-06-29 04:29:52 FUN] Running grid line #5 of 40... 
[2020-06-29 04:29:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:29:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  25

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8065 
Balanced Accuracy  0.8710 
              PPV  0.8286 
              NPV  0.9259 
               F1  0.8788 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:29:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:29:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:29:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:00 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:02 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.47; User: 15.77; System: 0.48) 
[2020-06-29 04:30:02 FUN] Running grid line #6 of 40... 
[2020-06-29 04:30:02 s.ADDTREE] Hello,  

[2020-06-29 04:30:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:30:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   8
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7500 
Balanced Accuracy  0.8427 
              PPV  0.7838 
              NPV  0.9231 
               F1  0.8529 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:30:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:10 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.86; User: 12.84; System: 0.34) 
[2020-06-29 04:30:10 FUN] Running grid line #7 of 40... 
[2020-06-29 04:30:10 s.ADDTREE] Hello,  

[2020-06-29 04:30:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:30:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  11
                0   2  21

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.6562 
Balanced Accuracy  0.7948 
              PPV  0.7179 
              NPV  0.9130 
               F1  0.8116 
         Accuracy  0.7903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:30:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:18 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.50; User: 13.28; System: 0.48) 
[2020-06-29 04:30:18 FUN] Running grid line #8 of 40... 
[2020-06-29 04:30:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:30:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   8
                0   2  23

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7419 
Balanced Accuracy  0.8387 
              PPV  0.7838 
              NPV  0.9200 
               F1  0.8529 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:30:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:25 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.35; User: 9.69; System: 0.47) 
[2020-06-29 04:30:25 FUN] Running grid line #9 of 40... 
[2020-06-29 04:30:25 s.ADDTREE] Hello,  

[2020-06-29 04:30:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:30:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   4
                0   2  28

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8750 
Balanced Accuracy  0.9052 
              PPV  0.8788 
              NPV  0.9333 
               F1  0.9062 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:30:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:38 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.11; User: 22.38; System: 0.64) 
[2020-06-29 04:30:38 FUN] Running grid line #10 of 40... 
[2020-06-29 04:30:38 s.ADDTREE] Hello,  

[2020-06-29 04:30:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:30:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   6
                0   2  25

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8065 
Balanced Accuracy  0.8699 
              PPV  0.8235 
              NPV  0.9259 
               F1  0.8750 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:30:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:46 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.22; System: 0.44) 
[2020-06-29 04:30:46 FUN] Running grid line #11 of 40... 
[2020-06-29 04:30:46 s.ADDTREE] Hello,  

[2020-06-29 04:30:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:30:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:30:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:30:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:30:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:30:56 s.ADDTREE] Pruning tree... 

[2020-06-29 04:30:59 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.61; User: 21.92; System: 0.75) 
[2020-06-29 04:30:59 FUN] Running grid line #12 of 40... 
[2020-06-29 04:30:59 s.ADDTREE] Hello,  

[2020-06-29 04:30:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:30:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9375 
Balanced Accuracy  0.9365 
              PPV  0.9355 
              NPV  0.9375 
               F1  0.9355 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:31:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:31:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:31:11 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.33; User: 21.29; System: 0.50) 
[2020-06-29 04:31:11 FUN] Running grid line #13 of 40... 
[2020-06-29 04:31:11 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:31:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:31:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:31:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:31:22 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.56; User: 17.80; System: 0.58) 
[2020-06-29 04:31:22 FUN] Running grid line #14 of 40... 
[2020-06-29 04:31:22 s.ADDTREE] Hello,  

[2020-06-29 04:31:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:31:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   2
                0   4  30

                   Overall  
      Sensitivity  0.8667 
      Specificity  0.9375 
Balanced Accuracy  0.9021 
              PPV  0.9286 
              NPV  0.8824 
               F1  0.8966 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:31:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:31:30 s.ADDTREE] Pruning tree... 

[2020-06-29 04:31:32 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.66; User: 18; System: 0.53) 
[2020-06-29 04:31:33 FUN] Running grid line #15 of 40... 
[2020-06-29 04:31:33 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:31:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9677 
Balanced Accuracy  0.9516 
              PPV  0.9667 
              NPV  0.9375 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:31:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:31:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:31:44 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.26; User: 19.52; System: 0.52) 
[2020-06-29 04:31:44 FUN] Running grid line #16 of 40... 
[2020-06-29 04:31:44 s.ADDTREE] Hello,  

[2020-06-29 04:31:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:31:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9062 
Balanced Accuracy  0.9209 
              PPV  0.9062 
              NPV  0.9355 
               F1  0.9206 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:31:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:31:51 s.ADDTREE] Pruning tree... 

[2020-06-29 04:31:53 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.66; User: 14.17; System: 0.44) 
[2020-06-29 04:31:53 FUN] Running grid line #17 of 40... 
[2020-06-29 04:31:53 s.ADDTREE] Hello,  

[2020-06-29 04:31:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:31:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9688 
Balanced Accuracy  0.9510 
              PPV  0.9655 
              NPV  0.9394 
               F1  0.9492 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:31:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:31:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:31:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:03 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.92; User: 16.91; System: 0.38) 
[2020-06-29 04:32:03 FUN] Running grid line #18 of 40... 
[2020-06-29 04:32:03 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:32:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9355 
Balanced Accuracy  0.9355 
              PPV  0.9355 
              NPV  0.9355 
               F1  0.9355 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:32:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:32:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:32:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:12 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:14 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.36; User: 19.72; System: 0.48) 
[2020-06-29 04:32:14 FUN] Running grid line #19 of 40... 
[2020-06-29 04:32:14 s.ADDTREE] Hello,  

[2020-06-29 04:32:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:32:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9688 
Balanced Accuracy  0.9521 
              PPV  0.9667 
              NPV  0.9394 
               F1  0.9508 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:32:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:32:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:32:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:28 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.87; User: 22.80; System: 0.61) 
[2020-06-29 04:32:28 FUN] Running grid line #20 of 40... 
[2020-06-29 04:32:28 s.ADDTREE] Hello,  

[2020-06-29 04:32:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:32:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   4
                0   2  27

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8710 
Balanced Accuracy  0.9022 
              PPV  0.8750 
              NPV  0.9310 
               F1  0.9032 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:32:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:32:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:32:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:38 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.66; User: 16.07; System: 0.52) 
[2020-06-29 04:32:38 FUN] Running grid line #21 of 40... 
[2020-06-29 04:32:38 s.ADDTREE] Hello,  

[2020-06-29 04:32:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:32:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9677 
Balanced Accuracy  0.9672 
              PPV  0.9667 
              NPV  0.9677 
               F1  0.9667 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:32:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:32:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:32:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:47 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.32; User: 15.47; System: 0.44) 
[2020-06-29 04:32:47 FUN] Running grid line #22 of 40... 
[2020-06-29 04:32:47 s.ADDTREE] Hello,  

[2020-06-29 04:32:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:32:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:32:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:32:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:32:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:32:56 s.ADDTREE] Pruning tree... 

[2020-06-29 04:32:58 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.68; User: 18.25; System: 0.38) 
[2020-06-29 04:32:58 FUN] Running grid line #23 of 40... 
[2020-06-29 04:32:58 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:32:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:33:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:04 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:06 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.41; User: 11.92; System: 0.43) 
[2020-06-29 04:33:06 FUN] Running grid line #24 of 40... 
[2020-06-29 04:33:06 s.ADDTREE] Hello,  

[2020-06-29 04:33:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:33:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22   2
                0   8  30

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.9375 
Balanced Accuracy  0.8354 
              PPV  0.9167 
              NPV  0.7895 
               F1  0.8148 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:33:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:10 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.52; User: 6.44; System: 0.21) 
[2020-06-29 04:33:10 FUN] Running grid line #25 of 40... 
[2020-06-29 04:33:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:33:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:33:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:19 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.69; User: 14.59; System: 0.57) 
[2020-06-29 04:33:19 FUN] Running grid line #26 of 40... 
[2020-06-29 04:33:19 s.ADDTREE] Hello,  

[2020-06-29 04:33:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:33:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9688 
Balanced Accuracy  0.9521 
              PPV  0.9667 
              NPV  0.9394 
               F1  0.9508 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:33:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:28 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.61; User: 14.27; System: 0.42) 
[2020-06-29 04:33:28 FUN] Running grid line #27 of 40... 
[2020-06-29 04:33:28 s.ADDTREE] Hello,  

[2020-06-29 04:33:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:33:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   1  31

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9688 
Balanced Accuracy  0.9677 
              PPV  0.9667 
              NPV  0.9688 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:33:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:35 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.56; User: 12.22; System: 0.40) 
[2020-06-29 04:33:35 FUN] Running grid line #28 of 40... 
[2020-06-29 04:33:36 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:33:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   1  27

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.8710 
Balanced Accuracy  0.9194 
              PPV  0.8824 
              NPV  0.9643 
               F1  0.9231 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:33:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:43 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.69; User: 12.58; System: 0.41) 
[2020-06-29 04:33:43 FUN] Running grid line #29 of 40... 
[2020-06-29 04:33:43 s.ADDTREE] Hello,  

[2020-06-29 04:33:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:33:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   3  31

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9688 
Balanced Accuracy  0.9360 
              PPV  0.9655 
              NPV  0.9118 
               F1  0.9333 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:33:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:49 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:50 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.89; User: 10.95; System: 0.28) 
[2020-06-29 04:33:50 FUN] Running grid line #30 of 40... 
[2020-06-29 04:33:50 s.ADDTREE] Hello,  

[2020-06-29 04:33:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:33:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:33:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:33:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:33:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:33:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:33:58 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 13.13; System: 0.33) 
[2020-06-29 04:33:58 FUN] Running grid line #31 of 40... 
[2020-06-29 04:33:58 s.ADDTREE] Hello,  

[2020-06-29 04:33:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:33:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21  15
                0   9  16

                   Overall  
      Sensitivity  0.7000 
      Specificity  0.5161 
Balanced Accuracy  0.6081 
              PPV  0.5833 
              NPV  0.6400 
               F1  0.6364 
         Accuracy  0.6066 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:34:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:03 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.38; User: 5.93; System: 0.33) 
[2020-06-29 04:34:03 FUN] Running grid line #32 of 40... 
[2020-06-29 04:34:03 s.ADDTREE] Hello,  

[2020-06-29 04:34:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:34:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  25
                0  15   7

                   Overall  
      Sensitivity  0.5161 
      Specificity  0.2188 
Balanced Accuracy  0.3674 
              PPV  0.3902 
              NPV  0.3182 
               F1  0.4444 
         Accuracy  0.3651 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:34:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:09 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.81; User: 8.92; System: 0.41) 
[2020-06-29 04:34:09 FUN] Running grid line #33 of 40... 
[2020-06-29 04:34:09 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  29
                0   0   2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0645 
Balanced Accuracy  0.5323 
              PPV  0.5167 
              NPV  1.0000 
               F1  0.6813 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.4286 
              NPV  NA     
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:34:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:12 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:12 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.50; User: 4.46; System: 0.25) 
[2020-06-29 04:34:12 FUN] Running grid line #34 of 40... 
[2020-06-29 04:34:12 s.ADDTREE] Hello,  

[2020-06-29 04:34:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  31
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0312 
Balanced Accuracy  0.5156 
              PPV  0.4918 
              NPV  1.0000 
               F1  0.6593 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:34:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:16 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.45; User: 4.34; System: 0.33) 
[2020-06-29 04:34:16 FUN] Running grid line #35 of 40... 
[2020-06-29 04:34:16 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  25
                0   3   6

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.1935 
Balanced Accuracy  0.5484 
              PPV  0.5283 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:34:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:21 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.50; User: 6.47; System: 0.28) 
[2020-06-29 04:34:21 FUN] Running grid line #36 of 40... 
[2020-06-29 04:34:21 s.ADDTREE] Hello,  

[2020-06-29 04:34:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:34:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  24
                0  13   8

                   Overall  
      Sensitivity  0.5806 
      Specificity  0.2500 
Balanced Accuracy  0.4153 
              PPV  0.4286 
              NPV  0.3810 
               F1  0.4932 
         Accuracy  0.4127 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:34:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:25 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.65; User: 6.60; System: 0.28) 
[2020-06-29 04:34:25 FUN] Running grid line #37 of 40... 
[2020-06-29 04:34:25 s.ADDTREE] Hello,  

[2020-06-29 04:34:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  20
                0  16  12

                   Overall  
      Sensitivity  0.4667 
      Specificity  0.3750 
Balanced Accuracy  0.4208 
              PPV  0.4118 
              NPV  0.4286 
               F1  0.4375 
         Accuracy  0.4194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:34:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:30 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:31 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.81; User: 8.76; System: 0.25) 
[2020-06-29 04:34:31 FUN] Running grid line #38 of 40... 
[2020-06-29 04:34:31 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  20
                0  22  11

                   Overall  
      Sensitivity  0.2903 
      Specificity  0.3548 
Balanced Accuracy  0.3226 
              PPV  0.3103 
              NPV  0.3333 
               F1  0.3000 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.2500 
Balanced Accuracy  0.2917 
              PPV  0.2500 
              NPV  0.3333 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:34:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:35 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:36 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.16; User: 5.59; System: 0.33) 
[2020-06-29 04:34:36 FUN] Running grid line #39 of 40... 
[2020-06-29 04:34:36 s.ADDTREE] Hello,  

[2020-06-29 04:34:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:34:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  17
                0  17  15

                   Overall  
      Sensitivity  0.4516 
      Specificity  0.4688 
Balanced Accuracy  0.4602 
              PPV  0.4516 
              NPV  0.4688 
               F1  0.4516 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:34:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:39 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:40 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.11; User: 5.61; System: 0.35) 
[2020-06-29 04:34:40 FUN] Running grid line #40 of 40... 
[2020-06-29 04:34:40 s.ADDTREE] Hello,  

[2020-06-29 04:34:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:34:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  25
                0  10   6

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.1935 
Balanced Accuracy  0.4301 
              PPV  0.4444 
              NPV  0.3750 
               F1  0.5333 
         Accuracy  0.4262 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:34:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:44 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:44 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.46; User: 6.14; System: 0.36) 
[2020-06-29 04:34:50 FUN] Running grid line #1 of 40... 
[2020-06-29 04:34:50 s.ADDTREE] Hello,  

[2020-06-29 04:34:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:34:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9375 
Balanced Accuracy  0.9521 
              PPV  0.9355 
              NPV  0.9677 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:34:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:34:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:34:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:34:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:34:59 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.06; User: 15.25; System: 0.42) 
[2020-06-29 04:34:59 FUN] Running grid line #2 of 40... 
[2020-06-29 04:34:59 s.ADDTREE] Hello,  

[2020-06-29 04:34:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:34:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9062 
Balanced Accuracy  0.9209 
              PPV  0.9062 
              NPV  0.9355 
               F1  0.9206 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:35:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:09 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.06; User: 17.26; System: 0.44) 
[2020-06-29 04:35:09 FUN] Running grid line #3 of 40... 
[2020-06-29 04:35:09 s.ADDTREE] Hello,  

[2020-06-29 04:35:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:35:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   9
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7273 
Balanced Accuracy  0.8314 
              PPV  0.7632 
              NPV  0.9231 
               F1  0.8406 
         Accuracy  0.8281 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:35:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:18 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 14.87; System: 0.48) 
[2020-06-29 04:35:18 FUN] Running grid line #4 of 40... 
[2020-06-29 04:35:18 s.ADDTREE] Hello,  

[2020-06-29 04:35:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:35:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27  10
                0   3  22

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.6875 
Balanced Accuracy  0.7938 
              PPV  0.7297 
              NPV  0.8800 
               F1  0.8060 
         Accuracy  0.7903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:35:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:25 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.98; User: 11.14; System: 0.39) 
[2020-06-29 04:35:25 FUN] Running grid line #5 of 40... 
[2020-06-29 04:35:25 s.ADDTREE] Hello,  

[2020-06-29 04:35:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:35:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   4
                0   5  29

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8788 
Balanced Accuracy  0.8587 
              PPV  0.8667 
              NPV  0.8529 
               F1  0.8525 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:35:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:35 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.63; User: 15.95; System: 0.64) 
[2020-06-29 04:35:35 FUN] Running grid line #6 of 40... 
[2020-06-29 04:35:35 s.ADDTREE] Hello,  

[2020-06-29 04:35:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:35:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  13
                0   3  19

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.5938 
Balanced Accuracy  0.7485 
              PPV  0.6829 
              NPV  0.8636 
               F1  0.7778 
         Accuracy  0.7460 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:35:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:45 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.76; User: 16.57; System: 0.39) 
[2020-06-29 04:35:45 FUN] Running grid line #7 of 40... 
[2020-06-29 04:35:45 s.ADDTREE] Hello,  

[2020-06-29 04:35:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:35:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  11
                0   1  22

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.6667 
Balanced Accuracy  0.8167 
              PPV  0.7250 
              NPV  0.9565 
               F1  0.8286 
         Accuracy  0.8095 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:35:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:35:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:35:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:35:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:35:56 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 16.72; System: 0.52) 
[2020-06-29 04:35:56 FUN] Running grid line #8 of 40... 
[2020-06-29 04:35:56 s.ADDTREE] Hello,  

[2020-06-29 04:35:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:35:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   9
                0   5  23

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.7188 
Balanced Accuracy  0.7787 
              PPV  0.7429 
              NPV  0.8214 
               F1  0.7879 
         Accuracy  0.7778 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:36:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:36:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:36:07 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 16.61; System: 0.45) 
[2020-06-29 04:36:07 FUN] Running grid line #9 of 40... 
[2020-06-29 04:36:07 s.ADDTREE] Hello,  

[2020-06-29 04:36:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:36:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  11
                0   2  22

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.6667 
Balanced Accuracy  0.8011 
              PPV  0.7250 
              NPV  0.9167 
               F1  0.8169 
         Accuracy  0.7969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:36:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:36:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:36:18 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.80; User: 17.54; System: 0.50) 
[2020-06-29 04:36:18 FUN] Running grid line #10 of 40... 
[2020-06-29 04:36:18 s.ADDTREE] Hello,  

[2020-06-29 04:36:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:36:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  13
                0   2  19

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.5938 
Balanced Accuracy  0.7635 
              PPV  0.6829 
              NPV  0.9048 
               F1  0.7887 
         Accuracy  0.7581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:36:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:36:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:36:27 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.89; User: 14.62; System: 0.46) 
[2020-06-29 04:36:27 FUN] Running grid line #11 of 40... 
[2020-06-29 04:36:27 s.ADDTREE] Hello,  

[2020-06-29 04:36:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:36:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9375 
Balanced Accuracy  0.9521 
              PPV  0.9355 
              NPV  0.9677 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:36:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:36:37 s.ADDTREE] Pruning tree... 

[2020-06-29 04:36:39 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.39; User: 21.62; System: 0.53) 
[2020-06-29 04:36:39 FUN] Running grid line #12 of 40... 
[2020-06-29 04:36:39 s.ADDTREE] Hello,  

[2020-06-29 04:36:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:36:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:36:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:36:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:36:50 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.65; User: 17.83; System: 0.57) 
[2020-06-29 04:36:50 FUN] Running grid line #13 of 40... 
[2020-06-29 04:36:50 s.ADDTREE] Hello,  

[2020-06-29 04:36:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:36:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   0  33

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:36:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:36:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:36:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:37:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:37:04 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.45; User: 25.55; System: 0.75) 
[2020-06-29 04:37:04 FUN] Running grid line #14 of 40... 
[2020-06-29 04:37:05 s.ADDTREE] Hello,  

[2020-06-29 04:37:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:37:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  10
                0   1  22

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.6875 
Balanced Accuracy  0.8271 
              PPV  0.7436 
              NPV  0.9565 
               F1  0.8406 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:37:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:37:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:37:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:37:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:37:15 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 18.75; System: 0.47) 
[2020-06-29 04:37:15 FUN] Running grid line #15 of 40... 
[2020-06-29 04:37:15 s.ADDTREE] Hello,  

[2020-06-29 04:37:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:37:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  33

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9706 
               F1  0.9836 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:37:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:37:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:37:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:37:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:37:29 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.28; User: 23.55; System: 0.43) 
[2020-06-29 04:37:29 FUN] Running grid line #16 of 40... 
[2020-06-29 04:37:29 s.ADDTREE] Hello,  

[2020-06-29 04:37:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:37:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9375 
Balanced Accuracy  0.9365 
              PPV  0.9355 
              NPV  0.9375 
               F1  0.9355 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:37:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:37:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:37:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:37:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:37:44 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.61; User: 25.88; System: 0.47) 
[2020-06-29 04:37:44 FUN] Running grid line #17 of 40... 
[2020-06-29 04:37:45 s.ADDTREE] Hello,  

[2020-06-29 04:37:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:37:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   1  26

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.7879 
Balanced Accuracy  0.8773 
              PPV  0.8056 
              NPV  0.9630 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:37:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:37:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:37:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:37:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:37:57 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.99; User: 18.86; System: 0.60) 
[2020-06-29 04:37:57 FUN] Running grid line #18 of 40... 
[2020-06-29 04:37:57 s.ADDTREE] Hello,  

[2020-06-29 04:37:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:37:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   9
                0   1  23

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.7188 
Balanced Accuracy  0.8432 
              PPV  0.7692 
              NPV  0.9583 
               F1  0.8571 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:38:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:07 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.69; User: 16.29; System: 0.61) 
[2020-06-29 04:38:07 FUN] Running grid line #19 of 40... 
[2020-06-29 04:38:07 s.ADDTREE] Hello,  

[2020-06-29 04:38:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:38:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9091 
Balanced Accuracy  0.9545 
              PPV  0.9118 
              NPV  1.0000 
               F1  0.9538 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:38:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:18 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.36; User: 16; System: 0.60) 
[2020-06-29 04:38:18 FUN] Running grid line #20 of 40... 
[2020-06-29 04:38:18 s.ADDTREE] Hello,  

[2020-06-29 04:38:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:38:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  31

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9688 
Balanced Accuracy  0.9844 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:38:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:31 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.79; User: 21.84; System: 0.59) 
[2020-06-29 04:38:31 FUN] Running grid line #21 of 40... 
[2020-06-29 04:38:31 s.ADDTREE] Hello,  

[2020-06-29 04:38:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:38:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   0  31

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9688 
Balanced Accuracy  0.9844 
              PPV  0.9677 
              NPV  1.0000 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:38:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:37 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:38 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.45; User: 11.85; System: 0.41) 
[2020-06-29 04:38:38 FUN] Running grid line #22 of 40... 
[2020-06-29 04:38:38 s.ADDTREE] Hello,  

[2020-06-29 04:38:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:38:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  32

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9667 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:38:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:44 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:45 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.53; User: 10.28; System: 0.36) 
[2020-06-29 04:38:45 FUN] Running grid line #23 of 40... 
[2020-06-29 04:38:45 s.ADDTREE] Hello,  

[2020-06-29 04:38:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:38:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9091 
Balanced Accuracy  0.9384 
              PPV  0.9091 
              NPV  0.9677 
               F1  0.9375 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:38:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:49 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:50 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.09; User: 7.23; System: 0.32) 
[2020-06-29 04:38:50 FUN] Running grid line #24 of 40... 
[2020-06-29 04:38:50 s.ADDTREE] Hello,  

[2020-06-29 04:38:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:38:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9375 
Balanced Accuracy  0.9521 
              PPV  0.9355 
              NPV  0.9677 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:38:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:38:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:38:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:38:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:38:59 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.80; User: 14.38; System: 0.53) 
[2020-06-29 04:38:59 FUN] Running grid line #25 of 40... 
[2020-06-29 04:38:59 s.ADDTREE] Hello,  

[2020-06-29 04:38:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:38:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  33

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9429 
               F1  0.9667 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:39:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:06 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.34; User: 11.32; System: 0.31) 
[2020-06-29 04:39:07 FUN] Running grid line #26 of 40... 
[2020-06-29 04:39:07 s.ADDTREE] Hello,  

[2020-06-29 04:39:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:39:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:39:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:17 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.92; User: 16.75; System: 0.39) 
[2020-06-29 04:39:17 FUN] Running grid line #27 of 40... 
[2020-06-29 04:39:17 s.ADDTREE] Hello,  

[2020-06-29 04:39:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:39:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9091 
Balanced Accuracy  0.9545 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:39:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:24 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.67; User: 12.31; System: 0.55) 
[2020-06-29 04:39:24 FUN] Running grid line #28 of 40... 
[2020-06-29 04:39:24 s.ADDTREE] Hello,  

[2020-06-29 04:39:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:39:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9688 
Balanced Accuracy  0.9521 
              PPV  0.9667 
              NPV  0.9394 
               F1  0.9508 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.2500 
Balanced Accuracy  0.4583 
              PPV  0.4000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:39:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:32 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 13.09; System: 0.36) 
[2020-06-29 04:39:32 FUN] Running grid line #29 of 40... 
[2020-06-29 04:39:33 s.ADDTREE] Hello,  

[2020-06-29 04:39:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:39:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   4
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8788 
Balanced Accuracy  0.9394 
              PPV  0.8857 
              NPV  1.0000 
               F1  0.9394 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:39:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:39 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:40 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.45; User: 12.14; System: 0.30) 
[2020-06-29 04:39:40 FUN] Running grid line #30 of 40... 
[2020-06-29 04:39:40 s.ADDTREE] Hello,  

[2020-06-29 04:39:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:39:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   4
                0   1  28

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.8750 
Balanced Accuracy  0.9208 
              PPV  0.8788 
              NPV  0.9655 
               F1  0.9206 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:39:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:47 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.67; User: 10.51; System: 0.27) 
[2020-06-29 04:39:47 FUN] Running grid line #31 of 40... 
[2020-06-29 04:39:47 s.ADDTREE] Hello,  

[2020-06-29 04:39:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:39:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  28
                0  19   4

                   Overall  
      Sensitivity  0.3667 
      Specificity  0.1250 
Balanced Accuracy  0.2458 
              PPV  0.2821 
              NPV  0.1739 
               F1  0.3188 
         Accuracy  0.2419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.2500 
Balanced Accuracy  0.2500 
              PPV  0.2500 
              NPV  0.2500 
               F1  0.2500 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 04:39:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:51 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.68; User: 4.79; System: 0.18) 
[2020-06-29 04:39:51 FUN] Running grid line #32 of 40... 
[2020-06-29 04:39:51 s.ADDTREE] Hello,  

[2020-06-29 04:39:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:39:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  30
                0  13   2

                   Overall  
      Sensitivity  0.5806 
      Specificity  0.0625 
Balanced Accuracy  0.3216 
              PPV  0.3750 
              NPV  0.1333 
               F1  0.4557 
         Accuracy  0.3175 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:39:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:55 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:56 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.98; User: 7.21; System: 0.42) 
[2020-06-29 04:39:56 FUN] Running grid line #33 of 40... 
[2020-06-29 04:39:56 s.ADDTREE] Hello,  

[2020-06-29 04:39:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:39:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  32
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0303 
Balanced Accuracy  0.5152 
              PPV  0.4921 
              NPV  1.0000 
               F1  0.6596 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:39:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:39:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:39:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:39:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:39:59 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.62; User: 4.83; System: 0.23) 
[2020-06-29 04:39:59 FUN] Running grid line #34 of 40... 
[2020-06-29 04:40:00 s.ADDTREE] Hello,  

[2020-06-29 04:40:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:40:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   0
                0  29  32

                   Overall  
      Sensitivity  0.0333 
      Specificity  1.0000 
Balanced Accuracy  0.5167 
              PPV  1.0000 
              NPV  0.5246 
               F1  0.0645 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.7500 
Balanced Accuracy  0.3750 
              PPV  0.0000 
              NPV  0.4286 
               F1  NA     
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 04:40:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:03 s.ADDTREE] Run completed in 0.05 minutes (Real: 2.99; User: 3.42; System: 0.29) 
[2020-06-29 04:40:03 FUN] Running grid line #35 of 40... 
[2020-06-29 04:40:03 s.ADDTREE] Hello,  

[2020-06-29 04:40:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:40:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13  30
                0  18   3

                   Overall  
      Sensitivity  0.4194 
      Specificity  0.0909 
Balanced Accuracy  0.2551 
              PPV  0.3023 
              NPV  0.1429 
               F1  0.3514 
         Accuracy  0.2500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:40:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:07 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.61; User: 6.56; System: 0.37) 
[2020-06-29 04:40:07 FUN] Running grid line #36 of 40... 
[2020-06-29 04:40:07 s.ADDTREE] Hello,  

[2020-06-29 04:40:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:40:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  11
                0  13  21

                   Overall  
      Sensitivity  0.5806 
      Specificity  0.6562 
Balanced Accuracy  0.6184 
              PPV  0.6207 
              NPV  0.6176 
               F1  0.6000 
         Accuracy  0.6190 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:40:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:12 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.39; User: 5.86; System: 0.27) 
[2020-06-29 04:40:12 FUN] Running grid line #37 of 40... 
[2020-06-29 04:40:12 s.ADDTREE] Hello,  

[2020-06-29 04:40:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:40:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  28
                0   8   5

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.1515 
Balanced Accuracy  0.4424 
              PPV  0.4400 
              NPV  0.3846 
               F1  0.5500 
         Accuracy  0.4286 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5714 
              NPV  NA     
               F1  0.7273 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:40:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:15 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:15 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.53; User: 4.61; System: 0.13) 
[2020-06-29 04:40:15 FUN] Running grid line #38 of 40... 
[2020-06-29 04:40:16 s.ADDTREE] Hello,  

[2020-06-29 04:40:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:40:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   3
                0  16  29

                   Overall  
      Sensitivity  0.4839 
      Specificity  0.9062 
Balanced Accuracy  0.6951 
              PPV  0.8333 
              NPV  0.6444 
               F1  0.6122 
         Accuracy  0.6984 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.5000 
Balanced Accuracy  0.4167 
              PPV  0.3333 
              NPV  0.5000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:40:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:20 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.83; User: 7.11; System: 0.19) 
[2020-06-29 04:40:20 FUN] Running grid line #39 of 40... 
[2020-06-29 04:40:20 s.ADDTREE] Hello,  

[2020-06-29 04:40:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:40:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  30
                0   2   3

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.0909 
Balanced Accuracy  0.5132 
              PPV  0.4915 
              NPV  0.6000 
               F1  0.6444 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:40:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:24 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:25 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.16; User: 5.70; System: 0.18) 
[2020-06-29 04:40:25 FUN] Running grid line #40 of 40... 
[2020-06-29 04:40:25 s.ADDTREE] Hello,  

[2020-06-29 04:40:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:40:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  28
                0   1   4

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.1250 
Balanced Accuracy  0.5458 
              PPV  0.5088 
              NPV  0.8000 
               F1  0.6667 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:40:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:29 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.81; User: 5.11; System: 0.37) 
[2020-06-29 04:40:34 FUN] Running grid line #1 of 40... 
[2020-06-29 04:40:34 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:40:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7742 
Balanced Accuracy  0.8548 
              PPV  0.8056 
              NPV  0.9231 
               F1  0.8657 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:40:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:42 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.71; User: 14.48; System: 0.53) 
[2020-06-29 04:40:42 FUN] Running grid line #2 of 40... 
[2020-06-29 04:40:42 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:40:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  13
                0   1  19

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.5938 
Balanced Accuracy  0.7812 
              PPV  0.7045 
              NPV  0.9500 
               F1  0.8158 
         Accuracy  0.7812 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:40:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:40:51 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.53; User: 14.26; System: 0.52) 
[2020-06-29 04:40:51 FUN] Running grid line #3 of 40... 
[2020-06-29 04:40:51 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:40:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   8
                0   2  23

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7419 
Balanced Accuracy  0.8387 
              PPV  0.7838 
              NPV  0.9200 
               F1  0.8529 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:40:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:40:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:40:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:40:58 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:00 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.64; User: 14.25; System: 0.34) 
[2020-06-29 04:41:00 FUN] Running grid line #4 of 40... 
[2020-06-29 04:41:00 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:41:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  11
                0   1  21

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.6562 
Balanced Accuracy  0.8125 
              PPV  0.7381 
              NPV  0.9545 
               F1  0.8378 
         Accuracy  0.8125 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:41:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:09 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.68; User: 14.58; System: 0.42) 
[2020-06-29 04:41:09 FUN] Running grid line #5 of 40... 
[2020-06-29 04:41:09 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:41:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  12
                0   1  19

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.6129 
Balanced Accuracy  0.7903 
              PPV  0.7143 
              NPV  0.9500 
               F1  0.8219 
         Accuracy  0.7903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:41:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:18 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.28; User: 15.90; System: 0.44) 
[2020-06-29 04:41:18 FUN] Running grid line #6 of 40... 
[2020-06-29 04:41:18 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:41:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   6
                0   2  26

                   Overall  
      Sensitivity  0.9375 
      Specificity  0.8125 
Balanced Accuracy  0.8750 
              PPV  0.8333 
              NPV  0.9286 
               F1  0.8824 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:41:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:26 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.86; User: 12.99; System: 0.38) 
[2020-06-29 04:41:26 FUN] Running grid line #7 of 40... 
[2020-06-29 04:41:26 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:41:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   2
                0   5  30

                   Overall  
      Sensitivity  0.8438 
      Specificity  0.9375 
Balanced Accuracy  0.8906 
              PPV  0.9310 
              NPV  0.8571 
               F1  0.8852 
         Accuracy  0.8906 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  1  0

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.0000 
Balanced Accuracy  0.3333 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.5000 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:41:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:35 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.36; User: 15.40; System: 0.56) 
[2020-06-29 04:41:35 FUN] Running grid line #8 of 40... 
[2020-06-29 04:41:35 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:41:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   4
                0   5  27

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8710 
Balanced Accuracy  0.8548 
              PPV  0.8667 
              NPV  0.8438 
               F1  0.8525 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:41:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:44 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.33; User: 13.97; System: 0.45) 
[2020-06-29 04:41:44 FUN] Running grid line #9 of 40... 
[2020-06-29 04:41:44 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:41:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  12
                0   1  20

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.6250 
Balanced Accuracy  0.7969 
              PPV  0.7209 
              NPV  0.9524 
               F1  0.8267 
         Accuracy  0.7969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:41:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:52 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.66; User: 12.69; System: 0.39) 
[2020-06-29 04:41:52 FUN] Running grid line #10 of 40... 
[2020-06-29 04:41:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:41:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   7
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7742 
Balanced Accuracy  0.8871 
              PPV  0.8158 
              NPV  1.0000 
               F1  0.8986 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:41:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:41:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:41:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:41:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:41:58 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.59; User: 10.69; System: 0.33) 
[2020-06-29 04:41:58 FUN] Running grid line #11 of 40... 
[2020-06-29 04:41:58 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:41:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  28

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9032 
Balanced Accuracy  0.9194 
              PPV  0.9062 
              NPV  0.9333 
               F1  0.9206 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:42:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:09 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.04; User: 19.31; System: 0.54) 
[2020-06-29 04:42:09 FUN] Running grid line #12 of 40... 
[2020-06-29 04:42:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:42:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   1  32

                   Overall  
      Sensitivity  0.9688 
      Specificity  1.0000 
Balanced Accuracy  0.9844 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9841 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:42:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:19 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.59; User: 16.51; System: 0.45) 
[2020-06-29 04:42:19 FUN] Running grid line #13 of 40... 
[2020-06-29 04:42:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:42:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  29

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9355 
Balanced Accuracy  0.9516 
              PPV  0.9375 
              NPV  0.9667 
               F1  0.9524 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:42:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:28 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.86; User: 14.78; System: 0.58) 
[2020-06-29 04:42:28 FUN] Running grid line #14 of 40... 
[2020-06-29 04:42:28 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:42:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   1  29

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.9062 
Balanced Accuracy  0.9375 
              PPV  0.9118 
              NPV  0.9667 
               F1  0.9394 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:42:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:38 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.22; User: 16.88; System: 0.60) 
[2020-06-29 04:42:38 FUN] Running grid line #15 of 40... 
[2020-06-29 04:42:39 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:42:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   7
                0   1  24

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.7742 
Balanced Accuracy  0.8710 
              PPV  0.8108 
              NPV  0.9600 
               F1  0.8824 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:42:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:45 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:46 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 12.22; System: 0.41) 
[2020-06-29 04:42:46 FUN] Running grid line #16 of 40... 
[2020-06-29 04:42:46 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:42:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   3  32

                   Overall  
      Sensitivity  0.9062 
      Specificity  1.0000 
Balanced Accuracy  0.9531 
              PPV  1.0000 
              NPV  0.9143 
               F1  0.9508 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:42:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:42:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:42:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:42:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:42:56 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.23; User: 17.69; System: 0.50) 
[2020-06-29 04:42:57 FUN] Running grid line #17 of 40... 
[2020-06-29 04:42:57 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:42:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   2  30

                   Overall  
      Sensitivity  0.9375 
      Specificity  0.9375 
Balanced Accuracy  0.9375 
              PPV  0.9375 
              NPV  0.9375 
               F1  0.9375 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:43:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:07 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.83; User: 18.75; System: 0.55) 
[2020-06-29 04:43:07 FUN] Running grid line #18 of 40... 
[2020-06-29 04:43:07 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:43:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:43:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:20 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.37; User: 21.45; System: 0.53) 
[2020-06-29 04:43:20 FUN] Running grid line #19 of 40... 
[2020-06-29 04:43:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:43:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  12
                0   1  20

                   Overall  
      Sensitivity  0.9688 
      Specificity  0.6250 
Balanced Accuracy  0.7969 
              PPV  0.7209 
              NPV  0.9524 
               F1  0.8267 
         Accuracy  0.7969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:43:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:28 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.60; User: 12.50; System: 0.28) 
[2020-06-29 04:43:28 FUN] Running grid line #20 of 40... 
[2020-06-29 04:43:28 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:43:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   5
                0   1  26

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.8387 
Balanced Accuracy  0.9032 
              PPV  0.8571 
              NPV  0.9630 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:43:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:36 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.90; User: 12.75; System: 0.39) 
[2020-06-29 04:43:36 FUN] Running grid line #21 of 40... 
[2020-06-29 04:43:36 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:43:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:43:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:44 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 13.67; System: 0.31) 
[2020-06-29 04:43:44 FUN] Running grid line #22 of 40... 
[2020-06-29 04:43:44 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:43:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   1  32

                   Overall  
      Sensitivity  0.9688 
      Specificity  1.0000 
Balanced Accuracy  0.9844 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9841 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:43:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:52 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 12.70; System: 0.41) 
[2020-06-29 04:43:52 FUN] Running grid line #23 of 40... 
[2020-06-29 04:43:52 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:43:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   4
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8710 
Balanced Accuracy  0.9355 
              PPV  0.8857 
              NPV  1.0000 
               F1  0.9394 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:43:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:43:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:43:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:43:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:43:58 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.78; User: 8.92; System: 0.36) 
[2020-06-29 04:43:58 FUN] Running grid line #24 of 40... 
[2020-06-29 04:43:58 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:43:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   2  32

                   Overall  
      Sensitivity  0.9375 
      Specificity  1.0000 
Balanced Accuracy  0.9688 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9677 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:44:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:04 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:05 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.29; User: 11.97; System: 0.46) 
[2020-06-29 04:44:05 FUN] Running grid line #25 of 40... 
[2020-06-29 04:44:05 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:44:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9688 
              NPV  1.0000 
               F1  0.9841 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:44:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:12 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.82; User: 11.03; System: 0.45) 
[2020-06-29 04:44:12 FUN] Running grid line #26 of 40... 
[2020-06-29 04:44:12 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:44:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:44:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:19 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.66; User: 10.54; System: 0.46) 
[2020-06-29 04:44:19 FUN] Running grid line #27 of 40... 
[2020-06-29 04:44:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:44:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   2  30

                   Overall  
      Sensitivity  0.9375 
      Specificity  0.9375 
Balanced Accuracy  0.9375 
              PPV  0.9375 
              NPV  0.9375 
               F1  0.9375 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:44:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:26 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:28 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.66; User: 14.74; System: 0.40) 
[2020-06-29 04:44:28 FUN] Running grid line #28 of 40... 
[2020-06-29 04:44:28 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:44:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9677 
Balanced Accuracy  0.9516 
              PPV  0.9667 
              NPV  0.9375 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:44:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:36 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 13.27; System: 0.52) 
[2020-06-29 04:44:36 FUN] Running grid line #29 of 40... 
[2020-06-29 04:44:36 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:44:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9412 
              NPV  1.0000 
               F1  0.9697 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:44:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:44 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.39; User: 13.76; System: 0.51) 
[2020-06-29 04:44:44 FUN] Running grid line #30 of 40... 
[2020-06-29 04:44:44 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:44:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9355 
Balanced Accuracy  0.9677 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:44:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:51 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:53 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.61; User: 14.65; System: 0.30) 
[2020-06-29 04:44:53 FUN] Running grid line #31 of 40... 
[2020-06-29 04:44:53 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:44:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  21
                0  20  10

                   Overall  
      Sensitivity  0.3548 
      Specificity  0.3226 
Balanced Accuracy  0.3387 
              PPV  0.3438 
              NPV  0.3333 
               F1  0.3492 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 04:44:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:44:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:44:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:44:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:44:57 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.19; User: 5.72; System: 0.22) 
[2020-06-29 04:44:57 FUN] Running grid line #32 of 40... 
[2020-06-29 04:44:57 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:44:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26  15
                0   6  17

                   Overall  
      Sensitivity  0.8125 
      Specificity  0.5312 
Balanced Accuracy  0.6719 
              PPV  0.6341 
              NPV  0.7391 
               F1  0.7123 
         Accuracy  0.6719 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:45:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:02 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.33; User: 6.11; System: 0.36) 
[2020-06-29 04:45:02 FUN] Running grid line #33 of 40... 
[2020-06-29 04:45:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:45:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  27
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1290 
Balanced Accuracy  0.5645 
              PPV  0.5345 
              NPV  1.0000 
               F1  0.6966 
         Accuracy  0.5645 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:45:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:05 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:06 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.74; User: 4.38; System: 0.28) 
[2020-06-29 04:45:06 FUN] Running grid line #34 of 40... 
[2020-06-29 04:45:06 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:45:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  24
                0  21   8

                   Overall  
      Sensitivity  0.3438 
      Specificity  0.2500 
Balanced Accuracy  0.2969 
              PPV  0.3143 
              NPV  0.2759 
               F1  0.3284 
         Accuracy  0.2969 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  1  0

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.0000 
Balanced Accuracy  0.3333 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.5000 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:45:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:10 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.64; User: 6.64; System: 0.42) 
[2020-06-29 04:45:10 FUN] Running grid line #35 of 40... 
[2020-06-29 04:45:10 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:45:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  29
                0   0   2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0645 
Balanced Accuracy  0.5323 
              PPV  0.5167 
              NPV  1.0000 
               F1  0.6813 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2500 
Balanced Accuracy  0.6250 
              PPV  0.5714 
              NPV  1.0000 
               F1  0.7273 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:45:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:14 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:14 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.62; User: 4.75; System: 0.22) 
[2020-06-29 04:45:14 FUN] Running grid line #36 of 40... 
[2020-06-29 04:45:14 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:45:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24  21
                0   8  11

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3438 
Balanced Accuracy  0.5469 
              PPV  0.5333 
              NPV  0.5789 
               F1  0.6234 
         Accuracy  0.5469 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:45:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:19 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.56; User: 6.56; System: 0.35) 
[2020-06-29 04:45:19 FUN] Running grid line #37 of 40... 
[2020-06-29 04:45:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:45:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  26
                0  20   6

                   Overall  
      Sensitivity  0.3750 
      Specificity  0.1875 
Balanced Accuracy  0.2812 
              PPV  0.3158 
              NPV  0.2308 
               F1  0.3429 
         Accuracy  0.2812 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:45:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:23 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.36; User: 6.02; System: 0.33) 
[2020-06-29 04:45:23 FUN] Running grid line #38 of 40... 
[2020-06-29 04:45:23 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:45:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21  28
                0  10   3

                   Overall  
      Sensitivity  0.6774 
      Specificity  0.0968 
Balanced Accuracy  0.3871 
              PPV  0.4286 
              NPV  0.2308 
               F1  0.5250 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  4
                0  2  0

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.0000 
Balanced Accuracy  0.2500 
              PPV  0.3333 
              NPV  0.0000 
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 04:45:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:29 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.80; User: 8.73; System: 0.39) 
[2020-06-29 04:45:29 FUN] Running grid line #39 of 40... 
[2020-06-29 04:45:29 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:45:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  13
                0  20  19

                   Overall  
      Sensitivity  0.3750 
      Specificity  0.5938 
Balanced Accuracy  0.4844 
              PPV  0.4800 
              NPV  0.4872 
               F1  0.4211 
         Accuracy  0.4844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:45:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:33 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.77; User: 4.81; System: 0.29) 
[2020-06-29 04:45:33 FUN] Running grid line #40 of 40... 
[2020-06-29 04:45:33 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:45:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  28
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0968 
Balanced Accuracy  0.5484 
              PPV  0.5254 
              NPV  1.0000 
               F1  0.6889 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:45:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:36 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.16; User: 3.80; System: 0.19) 
[2020-06-29 04:45:45 FUN] Running grid line #1 of 40... 
[2020-06-29 04:45:45 s.ADDTREE] Hello,  

[2020-06-29 04:45:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:45:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   5
                0   4  26

                   Overall  
      Sensitivity  0.8667 
      Specificity  0.8387 
Balanced Accuracy  0.8527 
              PPV  0.8387 
              NPV  0.8667 
               F1  0.8525 
         Accuracy  0.8525 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:45:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:45:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:45:53 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.75; User: 14.55; System: 0.55) 
[2020-06-29 04:45:53 FUN] Running grid line #2 of 40... 
[2020-06-29 04:45:54 s.ADDTREE] Hello,  

[2020-06-29 04:45:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:45:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   5
                0   5  27

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8438 
Balanced Accuracy  0.8412 
              PPV  0.8387 
              NPV  0.8438 
               F1  0.8387 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:45:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:45:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:45:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:02 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.58; User: 14.32; System: 0.41) 
[2020-06-29 04:46:02 FUN] Running grid line #3 of 40... 
[2020-06-29 04:46:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:46:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   7
                0   1  24

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.7742 
Balanced Accuracy  0.8710 
              PPV  0.8108 
              NPV  0.9600 
               F1  0.8824 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:46:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 15.29; System: 0.44) 
[2020-06-29 04:46:11 FUN] Running grid line #4 of 40... 
[2020-06-29 04:46:11 s.ADDTREE] Hello,  

[2020-06-29 04:46:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:46:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   6
                0   2  26

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8125 
Balanced Accuracy  0.8729 
              PPV  0.8235 
              NPV  0.9286 
               F1  0.8750 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:46:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:19 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:20 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.47; User: 14.06; System: 0.36) 
[2020-06-29 04:46:20 FUN] Running grid line #5 of 40... 
[2020-06-29 04:46:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:46:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  28

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9032 
Balanced Accuracy  0.9194 
              PPV  0.9062 
              NPV  0.9333 
               F1  0.9206 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:46:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:28 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.94; User: 12.89; System: 0.61) 
[2020-06-29 04:46:28 FUN] Running grid line #6 of 40... 
[2020-06-29 04:46:28 s.ADDTREE] Hello,  

[2020-06-29 04:46:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:46:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   4
                0   5  28

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8750 
Balanced Accuracy  0.8569 
              PPV  0.8667 
              NPV  0.8485 
               F1  0.8525 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:46:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:35 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:36 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.90; User: 12.68; System: 0.40) 
[2020-06-29 04:46:36 FUN] Running grid line #7 of 40... 
[2020-06-29 04:46:36 s.ADDTREE] Hello,  

[2020-06-29 04:46:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:46:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   3
                0   9  29

                   Overall  
      Sensitivity  0.7000 
      Specificity  0.9062 
Balanced Accuracy  0.8031 
              PPV  0.8750 
              NPV  0.7632 
               F1  0.7778 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:46:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:42 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:43 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.16; User: 11.51; System: 0.44) 
[2020-06-29 04:46:43 FUN] Running grid line #8 of 40... 
[2020-06-29 04:46:43 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:46:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   2  26

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8387 
Balanced Accuracy  0.8871 
              PPV  0.8529 
              NPV  0.9286 
               F1  0.8923 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:46:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:46:52 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.28; User: 13.71; System: 0.41) 
[2020-06-29 04:46:52 FUN] Running grid line #9 of 40... 
[2020-06-29 04:46:52 s.ADDTREE] Hello,  

[2020-06-29 04:46:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:46:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   5
                0   3  27

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.8438 
Balanced Accuracy  0.8735 
              PPV  0.8485 
              NPV  0.9000 
               F1  0.8750 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:46:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:46:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:46:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:46:59 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:00 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 13.63; System: 0.53) 
[2020-06-29 04:47:00 FUN] Running grid line #10 of 40... 
[2020-06-29 04:47:00 s.ADDTREE] Hello,  

[2020-06-29 04:47:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:47:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   1  24

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.7742 
Balanced Accuracy  0.8704 
              PPV  0.8056 
              NPV  0.9600 
               F1  0.8788 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:47:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:47:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:47:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:47:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:09 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.33; User: 13.74; System: 0.47) 
[2020-06-29 04:47:09 FUN] Running grid line #11 of 40... 
[2020-06-29 04:47:09 s.ADDTREE] Hello,  

[2020-06-29 04:47:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:47:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   2  28

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9032 
Balanced Accuracy  0.9183 
              PPV  0.9032 
              NPV  0.9333 
               F1  0.9180 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:47:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:47:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:47:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:47:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:19 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.70; User: 18.23; System: 0.58) 
[2020-06-29 04:47:19 FUN] Running grid line #12 of 40... 
[2020-06-29 04:47:19 s.ADDTREE] Hello,  

[2020-06-29 04:47:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:47:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:47:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:47:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:47:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:47:30 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:33 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.22; User: 21.94; System: 0.56) 
[2020-06-29 04:47:33 FUN] Running grid line #13 of 40... 
[2020-06-29 04:47:33 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:47:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:47:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:47:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:47:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:47:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:45 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.41; User: 21.80; System: 0.60) 
[2020-06-29 04:47:45 FUN] Running grid line #14 of 40... 
[2020-06-29 04:47:45 s.ADDTREE] Hello,  

[2020-06-29 04:47:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:47:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   1  29

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9062 
Balanced Accuracy  0.9365 
              PPV  0.9062 
              NPV  0.9667 
               F1  0.9355 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:47:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:47:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:47:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:47:55 s.ADDTREE] Pruning tree... 

[2020-06-29 04:47:57 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.69; User: 19.86; System: 0.58) 
[2020-06-29 04:47:57 FUN] Running grid line #15 of 40... 
[2020-06-29 04:47:57 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:47:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   2  30

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9677 
Balanced Accuracy  0.9516 
              PPV  0.9667 
              NPV  0.9375 
               F1  0.9508 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:48:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:48:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:48:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:48:06 s.ADDTREE] Pruning tree... 

[2020-06-29 04:48:08 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.52; User: 18.11; System: 0.53) 
[2020-06-29 04:48:08 FUN] Running grid line #16 of 40... 
[2020-06-29 04:48:08 s.ADDTREE] Hello,  

[2020-06-29 04:48:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:48:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:48:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:48:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:48:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:48:17 s.ADDTREE] Pruning tree... 

[2020-06-29 04:48:19 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.97; User: 18.97; System: 0.48) 
[2020-06-29 04:48:19 FUN] Running grid line #17 of 40... 
[2020-06-29 04:48:19 s.ADDTREE] Hello,  

[2020-06-29 04:48:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:48:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   0
                0   6  32

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.8421 
               F1  0.8889 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:48:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:48:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:48:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:48:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:48:28 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.56; User: 16.50; System: 0.37) 
[2020-06-29 04:48:28 FUN] Running grid line #18 of 40... 
[2020-06-29 04:48:28 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:48:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9677 
Balanced Accuracy  0.9839 
              PPV  0.9688 
              NPV  1.0000 
               F1  0.9841 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  4

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:48:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:48:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:48:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:48:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:48:43 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.92; User: 26.86; System: 0.58) 
[2020-06-29 04:48:43 FUN] Running grid line #19 of 40... 
[2020-06-29 04:48:44 s.ADDTREE] Hello,  

[2020-06-29 04:48:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:48:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:48:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:48:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:48:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:48:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:48:55 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.03; User: 19.01; System: 0.53) 
[2020-06-29 04:48:55 FUN] Running grid line #20 of 40... 
[2020-06-29 04:48:55 s.ADDTREE] Hello,  

[2020-06-29 04:48:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:48:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   1  28

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9032 
Balanced Accuracy  0.9349 
              PPV  0.9062 
              NPV  0.9655 
               F1  0.9355 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:49:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:04 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:06 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.95; User: 18.97; System: 0.45) 
[2020-06-29 04:49:06 FUN] Running grid line #21 of 40... 
[2020-06-29 04:49:06 s.ADDTREE] Hello,  

[2020-06-29 04:49:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:49:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  29

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9355 
Balanced Accuracy  0.9511 
              PPV  0.9355 
              NPV  0.9667 
               F1  0.9508 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:49:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:13 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.99; User: 11.24; System: 0.41) 
[2020-06-29 04:49:13 FUN] Running grid line #22 of 40... 
[2020-06-29 04:49:13 s.ADDTREE] Hello,  

[2020-06-29 04:49:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:49:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  32

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9836 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:49:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:19 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.69; User: 10.70; System: 0.34) 
[2020-06-29 04:49:20 FUN] Running grid line #23 of 40... 
[2020-06-29 04:49:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:49:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9355 
Balanced Accuracy  0.9677 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.7500 
Balanced Accuracy  0.7083 
              PPV  0.6667 
              NPV  0.7500 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:49:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:25 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:27 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.15; User: 11.42; System: 0.44) 
[2020-06-29 04:49:27 FUN] Running grid line #24 of 40... 
[2020-06-29 04:49:27 s.ADDTREE] Hello,  

[2020-06-29 04:49:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:49:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:49:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:33 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:35 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.76; User: 12.59; System: 0.39) 
[2020-06-29 04:49:35 FUN] Running grid line #25 of 40... 
[2020-06-29 04:49:35 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:49:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:49:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:41 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.11; User: 9.39; System: 0.31) 
[2020-06-29 04:49:41 FUN] Running grid line #26 of 40... 
[2020-06-29 04:49:41 s.ADDTREE] Hello,  

[2020-06-29 04:49:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:49:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:49:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:49 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 13.02; System: 0.37) 
[2020-06-29 04:49:49 FUN] Running grid line #27 of 40... 
[2020-06-29 04:49:49 s.ADDTREE] Hello,  

[2020-06-29 04:49:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:49:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   1  32

                   Overall  
      Sensitivity  0.9667 
      Specificity  1.0000 
Balanced Accuracy  0.9833 
              PPV  1.0000 
              NPV  0.9697 
               F1  0.9831 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:49:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:49:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:49:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:49:54 s.ADDTREE] Pruning tree... 

[2020-06-29 04:49:56 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.81; User: 10.78; System: 0.46) 
[2020-06-29 04:49:56 FUN] Running grid line #28 of 40... 
[2020-06-29 04:49:56 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:49:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  29

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9355 
Balanced Accuracy  0.9516 
              PPV  0.9375 
              NPV  0.9667 
               F1  0.9524 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:50:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:02 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.31; User: 9.52; System: 0.47) 
[2020-06-29 04:50:02 FUN] Running grid line #29 of 40... 
[2020-06-29 04:50:02 s.ADDTREE] Hello,  

[2020-06-29 04:50:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:50:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:50:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:09 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.75; User: 10.59; System: 0.45) 
[2020-06-29 04:50:09 FUN] Running grid line #30 of 40... 
[2020-06-29 04:50:09 s.ADDTREE] Hello,  

[2020-06-29 04:50:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:50:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   1  31

                   Overall  
      Sensitivity  0.9667 
      Specificity  1.0000 
Balanced Accuracy  0.9833 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9831 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:50:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:17 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.07; User: 13.32; System: 0.55) 
[2020-06-29 04:50:17 FUN] Running grid line #31 of 40... 
[2020-06-29 04:50:17 s.ADDTREE] Hello,  

[2020-06-29 04:50:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:50:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  21
                0   8  10

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.3226 
Balanced Accuracy  0.5280 
              PPV  0.5116 
              NPV  0.5556 
               F1  0.6027 
         Accuracy  0.5246 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  4
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.4286 
              NPV  0.0000 
               F1  0.5455 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 04:50:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:21 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:22 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.65; User: 6.47; System: 0.36) 
[2020-06-29 04:50:22 FUN] Running grid line #32 of 40... 
[2020-06-29 04:50:22 s.ADDTREE] Hello,  

[2020-06-29 04:50:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:50:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24  17
                0   7  15

                   Overall  
      Sensitivity  0.7742 
      Specificity  0.4688 
Balanced Accuracy  0.6215 
              PPV  0.5854 
              NPV  0.6818 
               F1  0.6667 
         Accuracy  0.6190 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:50:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:28 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.01; User: 9.25; System: 0.39) 
[2020-06-29 04:50:28 FUN] Running grid line #33 of 40... 
[2020-06-29 04:50:28 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:50:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30  30
                0   1   1

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.0323 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6593 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.4286 
              NPV  NA     
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:50:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:32 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:32 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.95; User: 5.15; System: 0.27) 
[2020-06-29 04:50:32 FUN] Running grid line #34 of 40... 
[2020-06-29 04:50:32 s.ADDTREE] Hello,  

[2020-06-29 04:50:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:50:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  13
                0  14  19

                   Overall  
      Sensitivity  0.5333 
      Specificity  0.5938 
Balanced Accuracy  0.5635 
              PPV  0.5517 
              NPV  0.5758 
               F1  0.5424 
         Accuracy  0.5645 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:50:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:37 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.44; User: 6.25; System: 0.16) 
[2020-06-29 04:50:37 FUN] Running grid line #35 of 40... 
[2020-06-29 04:50:37 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:50:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23  15
                0   8  16

                   Overall  
      Sensitivity  0.7419 
      Specificity  0.5161 
Balanced Accuracy  0.6290 
              PPV  0.6053 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6290 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.5000 
Balanced Accuracy  0.4167 
              PPV  0.3333 
              NPV  0.5000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:50:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:41 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.25; User: 5.92; System: 0.23) 
[2020-06-29 04:50:41 FUN] Running grid line #36 of 40... 
[2020-06-29 04:50:41 s.ADDTREE] Hello,  

[2020-06-29 04:50:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:50:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  28
                0   3   4

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.1250 
Balanced Accuracy  0.5141 
              PPV  0.5000 
              NPV  0.5714 
               F1  0.6437 
         Accuracy  0.5079 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:50:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:47 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.53; User: 8.42; System: 0.30) 
[2020-06-29 04:50:47 FUN] Running grid line #37 of 40... 
[2020-06-29 04:50:47 s.ADDTREE] Hello,  

[2020-06-29 04:50:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:50:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22   9
                0   8  23

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.7188 
Balanced Accuracy  0.7260 
              PPV  0.7097 
              NPV  0.7419 
               F1  0.7213 
         Accuracy  0.7258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:50:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:50 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:51 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.89; User: 5.11; System: 0.25) 
[2020-06-29 04:50:51 FUN] Running grid line #38 of 40... 
[2020-06-29 04:50:51 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:50:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23  18
                0   8  13

                   Overall  
      Sensitivity  0.7419 
      Specificity  0.4194 
Balanced Accuracy  0.5806 
              PPV  0.5610 
              NPV  0.6190 
               F1  0.6389 
         Accuracy  0.5806 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.5000 
Balanced Accuracy  0.5833 
              PPV  0.5000 
              NPV  0.6667 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:50:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:50:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:50:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:50:56 s.ADDTREE] Pruning tree... 

[2020-06-29 04:50:57 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.69; User: 8.65; System: 0.38) 
[2020-06-29 04:50:57 FUN] Running grid line #39 of 40... 
[2020-06-29 04:50:57 s.ADDTREE] Hello,  

[2020-06-29 04:50:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:50:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  31
                0   3   1

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.0312 
Balanced Accuracy  0.4672 
              PPV  0.4746 
              NPV  0.2500 
               F1  0.6222 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  1  0

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.0000 
Balanced Accuracy  0.3333 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.5000 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:51:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:51:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:51:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:51:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:51:03 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.85; User: 8.85; System: 0.36) 
[2020-06-29 04:51:03 FUN] Running grid line #40 of 40... 
[2020-06-29 04:51:03 s.ADDTREE] Hello,  

[2020-06-29 04:51:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:51:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  19
                0   2  12

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.3871 
Balanced Accuracy  0.6602 
              PPV  0.5957 
              NPV  0.8571 
               F1  0.7273 
         Accuracy  0.6557 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:51:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:51:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:51:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:51:06 s.ADDTREE] Pruning tree... 

[2020-06-29 04:51:07 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.18; User: 5.72; System: 0.28) 
[2020-06-29 04:51:11 FUN] Running grid line #1 of 40... 
[2020-06-29 04:51:11 s.ADDTREE] Hello,  

[2020-06-29 04:51:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:51:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   6
                0   5  25

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.8065 
Balanced Accuracy  0.8199 
              PPV  0.8065 
              NPV  0.8333 
               F1  0.8197 
         Accuracy  0.8197 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 04:51:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:51:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:51:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:52:16 s.ADDTREE] Pruning tree... 

[2020-06-29 04:52:25 s.ADDTREE] Run completed in 1.23 minutes (Real: 73.72; User: 139.21; System: 3.92) 
[2020-06-29 04:52:25 FUN] Running grid line #2 of 40... 
[2020-06-29 04:52:25 s.ADDTREE] Hello,  

[2020-06-29 04:52:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:52:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   6
                0   5  26

                   Overall  
      Sensitivity  0.8387 
      Specificity  0.8125 
Balanced Accuracy  0.8256 
              PPV  0.8125 
              NPV  0.8387 
               F1  0.8254 
         Accuracy  0.8254 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:52:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:52:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:52:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:52:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:52:32 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.92; User: 10.75; System: 0.41) 
[2020-06-29 04:52:32 FUN] Running grid line #3 of 40... 
[2020-06-29 04:52:32 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:52:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   6
                0   4  25

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.8065 
Balanced Accuracy  0.8387 
              PPV  0.8182 
              NPV  0.8621 
               F1  0.8438 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:52:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:52:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:52:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:52:39 s.ADDTREE] Pruning tree... 

[2020-06-29 04:52:40 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.33; User: 13.56; System: 0.40) 
[2020-06-29 04:52:40 FUN] Running grid line #4 of 40... 
[2020-06-29 04:52:40 s.ADDTREE] Hello,  

[2020-06-29 04:52:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:52:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   5
                0   2  27

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8438 
Balanced Accuracy  0.8885 
              PPV  0.8485 
              NPV  0.9310 
               F1  0.8889 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:52:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:52:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:52:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:52:49 s.ADDTREE] Pruning tree... 

[2020-06-29 04:52:51 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.59; User: 18.17; System: 0.50) 
[2020-06-29 04:52:51 FUN] Running grid line #5 of 40... 
[2020-06-29 04:52:51 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:52:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   6
                0   4  25

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.8065 
Balanced Accuracy  0.8387 
              PPV  0.8182 
              NPV  0.8621 
               F1  0.8438 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:52:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:52:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:52:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:52:58 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:00 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.79; User: 14.50; System: 0.41) 
[2020-06-29 04:53:00 FUN] Running grid line #6 of 40... 
[2020-06-29 04:53:00 s.ADDTREE] Hello,  

[2020-06-29 04:53:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:53:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   8
                0   3  24

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.7500 
Balanced Accuracy  0.8266 
              PPV  0.7778 
              NPV  0.8889 
               F1  0.8358 
         Accuracy  0.8254 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:53:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:09 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:10 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.05; User: 15.82; System: 0.48) 
[2020-06-29 04:53:10 FUN] Running grid line #7 of 40... 
[2020-06-29 04:53:10 s.ADDTREE] Hello,  

[2020-06-29 04:53:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:53:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   6
                0   3  26

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.8125 
Balanced Accuracy  0.8562 
              PPV  0.8182 
              NPV  0.8966 
               F1  0.8571 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:53:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:19 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.34; User: 15.33; System: 0.39) 
[2020-06-29 04:53:19 FUN] Running grid line #8 of 40... 
[2020-06-29 04:53:20 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:53:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7742 
Balanced Accuracy  0.8548 
              PPV  0.8056 
              NPV  0.9231 
               F1  0.8657 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:53:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:28 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.61; User: 14.27; System: 0.39) 
[2020-06-29 04:53:28 FUN] Running grid line #9 of 40... 
[2020-06-29 04:53:28 s.ADDTREE] Hello,  

[2020-06-29 04:53:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:53:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   2  27

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8438 
Balanced Accuracy  0.8896 
              PPV  0.8529 
              NPV  0.9310 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:53:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:35 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:36 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.92; User: 12.62; System: 0.37) 
[2020-06-29 04:53:36 FUN] Running grid line #10 of 40... 
[2020-06-29 04:53:36 s.ADDTREE] Hello,  

[2020-06-29 04:53:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:53:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24   4
                0   6  27

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.8710 
Balanced Accuracy  0.8355 
              PPV  0.8571 
              NPV  0.8182 
               F1  0.8276 
         Accuracy  0.8361 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:53:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:43 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:44 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.75; User: 12.56; System: 0.39) 
[2020-06-29 04:53:44 FUN] Running grid line #11 of 40... 
[2020-06-29 04:53:44 s.ADDTREE] Hello,  

[2020-06-29 04:53:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:53:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   2  30

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9677 
Balanced Accuracy  0.9505 
              PPV  0.9655 
              NPV  0.9375 
               F1  0.9492 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:53:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:53:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:53:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:53:53 s.ADDTREE] Pruning tree... 

[2020-06-29 04:53:55 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.94; User: 18.80; System: 0.55) 
[2020-06-29 04:53:55 FUN] Running grid line #12 of 40... 
[2020-06-29 04:53:55 s.ADDTREE] Hello,  

[2020-06-29 04:53:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:53:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   2
                0   3  30

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9375 
Balanced Accuracy  0.9204 
              PPV  0.9333 
              NPV  0.9091 
               F1  0.9180 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:53:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:01 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:03 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.31; User: 11.83; System: 0.47) 
[2020-06-29 04:54:03 FUN] Running grid line #13 of 40... 
[2020-06-29 04:54:03 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:54:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9355 
Balanced Accuracy  0.9355 
              PPV  0.9355 
              NPV  0.9355 
               F1  0.9355 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:54:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:15 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.24; User: 20.75; System: 0.46) 
[2020-06-29 04:54:15 FUN] Running grid line #14 of 40... 
[2020-06-29 04:54:15 s.ADDTREE] Hello,  

[2020-06-29 04:54:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:54:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.9688 
Balanced Accuracy  0.9510 
              PPV  0.9655 
              NPV  0.9394 
               F1  0.9492 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:54:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:26 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.56; User: 17.81; System: 0.59) 
[2020-06-29 04:54:26 FUN] Running grid line #15 of 40... 
[2020-06-29 04:54:26 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:54:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:54:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:35 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:38 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.14; User: 21.14; System: 0.59) 
[2020-06-29 04:54:38 FUN] Running grid line #16 of 40... 
[2020-06-29 04:54:38 s.ADDTREE] Hello,  

[2020-06-29 04:54:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:54:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   3  31

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.9688 
Balanced Accuracy  0.9360 
              PPV  0.9655 
              NPV  0.9118 
               F1  0.9333 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:54:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:48 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.12; User: 17.37; System: 0.45) 
[2020-06-29 04:54:48 FUN] Running grid line #17 of 40... 
[2020-06-29 04:54:48 s.ADDTREE] Hello,  

[2020-06-29 04:54:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:54:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   1  27

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.8438 
Balanced Accuracy  0.9052 
              PPV  0.8529 
              NPV  0.9643 
               F1  0.9062 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:54:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:54:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:54:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:54:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:54:59 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.81; User: 18.30; System: 0.56) 
[2020-06-29 04:54:59 FUN] Running grid line #18 of 40... 
[2020-06-29 04:54:59 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:55:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9677 
Balanced Accuracy  0.9677 
              PPV  0.9677 
              NPV  0.9677 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:55:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:08 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:10 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.76; User: 18.04; System: 0.40) 
[2020-06-29 04:55:10 FUN] Running grid line #19 of 40... 
[2020-06-29 04:55:10 s.ADDTREE] Hello,  

[2020-06-29 04:55:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:55:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:55:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:19 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.35; User: 15.71; System: 0.39) 
[2020-06-29 04:55:19 FUN] Running grid line #20 of 40... 
[2020-06-29 04:55:19 s.ADDTREE] Hello,  

[2020-06-29 04:55:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:55:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   4
                0   2  27

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.8710 
Balanced Accuracy  0.9022 
              PPV  0.8750 
              NPV  0.9310 
               F1  0.9032 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:55:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:27 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:28 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.83; User: 14.73; System: 0.40) 
[2020-06-29 04:55:28 FUN] Running grid line #21 of 40... 
[2020-06-29 04:55:28 s.ADDTREE] Hello,  

[2020-06-29 04:55:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:55:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9677 
Balanced Accuracy  0.9672 
              PPV  0.9667 
              NPV  0.9677 
               F1  0.9667 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:55:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:36 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.35; User: 11.58; System: 0.32) 
[2020-06-29 04:55:36 FUN] Running grid line #22 of 40... 
[2020-06-29 04:55:36 s.ADDTREE] Hello,  

[2020-06-29 04:55:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:55:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9375 
Balanced Accuracy  0.9526 
              PPV  0.9375 
              NPV  0.9677 
               F1  0.9524 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 04:55:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:42 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.17; User: 9.36; System: 0.46) 
[2020-06-29 04:55:42 FUN] Running grid line #23 of 40... 
[2020-06-29 04:55:42 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:55:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 04:55:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:48 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:49 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.61; User: 10.34; System: 0.42) 
[2020-06-29 04:55:49 FUN] Running grid line #24 of 40... 
[2020-06-29 04:55:49 s.ADDTREE] Hello,  

[2020-06-29 04:55:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:55:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   2  32

                   Overall  
      Sensitivity  0.9333 
      Specificity  1.0000 
Balanced Accuracy  0.9667 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9655 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:55:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:55:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:55:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:55:56 s.ADDTREE] Pruning tree... 

[2020-06-29 04:55:57 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.26; User: 13.36; System: 0.44) 
[2020-06-29 04:55:57 FUN] Running grid line #25 of 40... 
[2020-06-29 04:55:57 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:55:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  1.0000 
Balanced Accuracy  0.9839 
              PPV  1.0000 
              NPV  0.9688 
               F1  0.9836 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:56:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:04 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:05 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.77; User: 12.44; System: 0.50) 
[2020-06-29 04:56:05 FUN] Running grid line #26 of 40... 
[2020-06-29 04:56:05 s.ADDTREE] Hello,  

[2020-06-29 04:56:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:56:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9688 
Balanced Accuracy  0.9682 
              PPV  0.9677 
              NPV  0.9688 
               F1  0.9677 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:56:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:15 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.48; User: 15.95; System: 0.44) 
[2020-06-29 04:56:15 FUN] Running grid line #27 of 40... 
[2020-06-29 04:56:15 s.ADDTREE] Hello,  

[2020-06-29 04:56:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:56:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9375 
              NPV  1.0000 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:56:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:21 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.41; User: 10.18; System: 0.22) 
[2020-06-29 04:56:21 FUN] Running grid line #28 of 40... 
[2020-06-29 04:56:21 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:56:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  30

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9677 
Balanced Accuracy  0.9677 
              PPV  0.9677 
              NPV  0.9677 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:56:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:29 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 12.75; System: 0.35) 
[2020-06-29 04:56:29 FUN] Running grid line #29 of 40... 
[2020-06-29 04:56:29 s.ADDTREE] Hello,  

[2020-06-29 04:56:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:56:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9062 
Balanced Accuracy  0.9531 
              PPV  0.9118 
              NPV  1.0000 
               F1  0.9538 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:56:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:34 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:35 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.52; User: 8.14; System: 0.28) 
[2020-06-29 04:56:35 FUN] Running grid line #30 of 40... 
[2020-06-29 04:56:35 s.ADDTREE] Hello,  

[2020-06-29 04:56:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:56:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  29

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9355 
Balanced Accuracy  0.9511 
              PPV  0.9355 
              NPV  0.9667 
               F1  0.9508 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:56:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:40 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:41 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.56; User: 10.31; System: 0.32) 
[2020-06-29 04:56:41 FUN] Running grid line #31 of 40... 
[2020-06-29 04:56:41 s.ADDTREE] Hello,  

[2020-06-29 04:56:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:56:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   9
                0  27  22

                   Overall  
      Sensitivity  0.1000 
      Specificity  0.7097 
Balanced Accuracy  0.4048 
              PPV  0.2500 
              NPV  0.4490 
               F1  0.1429 
         Accuracy  0.4098 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 04:56:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:46 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:47 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.19; User: 7.61; System: 0.39) 
[2020-06-29 04:56:47 FUN] Running grid line #32 of 40... 
[2020-06-29 04:56:47 s.ADDTREE] Hello,  

[2020-06-29 04:56:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:56:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27  30
                0   4   2

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.0625 
Balanced Accuracy  0.4667 
              PPV  0.4737 
              NPV  0.3333 
               F1  0.6136 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:56:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:54 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.91; User: 10.91; System: 0.50) 
[2020-06-29 04:56:54 FUN] Running grid line #33 of 40... 
[2020-06-29 04:56:54 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:56:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8  17
                0  23  14

                   Overall  
      Sensitivity  0.2581 
      Specificity  0.4516 
Balanced Accuracy  0.3548 
              PPV  0.3200 
              NPV  0.3784 
               F1  0.2857 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5714 
               F1  NA     
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:56:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:56:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:56:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:56:57 s.ADDTREE] Pruning tree... 

[2020-06-29 04:56:58 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.64; User: 6.72; System: 0.28) 
[2020-06-29 04:56:58 FUN] Running grid line #34 of 40... 
[2020-06-29 04:56:58 s.ADDTREE] Hello,  

[2020-06-29 04:56:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:56:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  27
                0  20   5

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.1562 
Balanced Accuracy  0.2448 
              PPV  0.2703 
              NPV  0.2000 
               F1  0.2985 
         Accuracy  0.2419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 04:57:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:02 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.96; User: 5.09; System: 0.29) 
[2020-06-29 04:57:02 FUN] Running grid line #35 of 40... 
[2020-06-29 04:57:03 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:57:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  18
                0  16  13

                   Overall  
      Sensitivity  0.4839 
      Specificity  0.4194 
Balanced Accuracy  0.4516 
              PPV  0.4545 
              NPV  0.4483 
               F1  0.4687 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.2500 
Balanced Accuracy  0.2917 
              PPV  0.2500 
              NPV  0.3333 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:57:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:07 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:07 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.89; User: 7.08; System: 0.35) 
[2020-06-29 04:57:07 FUN] Running grid line #36 of 40... 
[2020-06-29 04:57:08 s.ADDTREE] Hello,  

[2020-06-29 04:57:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:57:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  13
                0  11  19

                   Overall  
      Sensitivity  0.6452 
      Specificity  0.5938 
Balanced Accuracy  0.6195 
              PPV  0.6061 
              NPV  0.6333 
               F1  0.6250 
         Accuracy  0.6190 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 04:57:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:13 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:14 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.50; User: 10.11; System: 0.47) 
[2020-06-29 04:57:14 FUN] Running grid line #37 of 40... 
[2020-06-29 04:57:14 s.ADDTREE] Hello,  

[2020-06-29 04:57:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:57:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  21
                0   8  11

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.3438 
Balanced Accuracy  0.5385 
              PPV  0.5116 
              NPV  0.5789 
               F1  0.6027 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 04:57:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:18 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:19 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.78; User: 6.80; System: 0.30) 
[2020-06-29 04:57:19 FUN] Running grid line #38 of 40... 
[2020-06-29 04:57:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:57:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  18
                0  11  13

                   Overall  
      Sensitivity  0.6452 
      Specificity  0.4194 
Balanced Accuracy  0.5323 
              PPV  0.5263 
              NPV  0.5417 
               F1  0.5797 
         Accuracy  0.5323 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.2500 
Balanced Accuracy  0.2917 
              PPV  0.2500 
              NPV  0.3333 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 04:57:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:23 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:24 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.12; User: 7.42; System: 0.22) 
[2020-06-29 04:57:24 FUN] Running grid line #39 of 40... 
[2020-06-29 04:57:24 s.ADDTREE] Hello,  

[2020-06-29 04:57:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:57:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  19
                0  22  13

                   Overall  
      Sensitivity  0.2903 
      Specificity  0.4062 
Balanced Accuracy  0.3483 
              PPV  0.3214 
              NPV  0.3714 
               F1  0.3051 
         Accuracy  0.3492 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  2  0

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.0000 
Balanced Accuracy  0.1667 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 04:57:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:29 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.47; User: 6.33; System: 0.23) 
[2020-06-29 04:57:29 FUN] Running grid line #40 of 40... 
[2020-06-29 04:57:29 s.ADDTREE] Hello,  

[2020-06-29 04:57:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:57:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  14
                0  12  17

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.5484 
Balanced Accuracy  0.5742 
              PPV  0.5625 
              NPV  0.5862 
               F1  0.5806 
         Accuracy  0.5738 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:57:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:35 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:36 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.44; User: 11.55; System: 0.45) 
[2020-06-29 04:57:43 FUN] Running grid line #1 of 40... 
[2020-06-29 04:57:43 s.ADDTREE] Hello,  

[2020-06-29 04:57:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:57:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  12
                0   1  19

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.6129 
Balanced Accuracy  0.7898 
              PPV  0.7073 
              NPV  0.9500 
               F1  0.8169 
         Accuracy  0.7869 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 04:57:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:57:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:57:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:57:52 s.ADDTREE] Pruning tree... 

[2020-06-29 04:57:55 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.18; User: 18.93; System: 0.52) 
[2020-06-29 04:57:55 FUN] Running grid line #2 of 40... 
[2020-06-29 04:57:55 s.ADDTREE] Hello,  

[2020-06-29 04:57:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:57:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   5
                0   2  27

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8438 
Balanced Accuracy  0.8896 
              PPV  0.8529 
              NPV  0.9310 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:57:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:04 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.11; User: 15.42; System: 0.41) 
[2020-06-29 04:58:04 FUN] Running grid line #3 of 40... 
[2020-06-29 04:58:04 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:58:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   2  24

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7742 
Balanced Accuracy  0.8548 
              PPV  0.8056 
              NPV  0.9231 
               F1  0.8657 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:58:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:13 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.67; User: 14.56; System: 0.44) 
[2020-06-29 04:58:13 FUN] Running grid line #4 of 40... 
[2020-06-29 04:58:13 s.ADDTREE] Hello,  

[2020-06-29 04:58:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:58:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   7
                0   2  25

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.7812 
Balanced Accuracy  0.8573 
              PPV  0.8000 
              NPV  0.9259 
               F1  0.8615 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:58:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:20 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:21 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.56; User: 14.45; System: 0.33) 
[2020-06-29 04:58:21 FUN] Running grid line #5 of 40... 
[2020-06-29 04:58:21 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:58:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   8
                0   2  23

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.7419 
Balanced Accuracy  0.8387 
              PPV  0.7838 
              NPV  0.9200 
               F1  0.8529 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 04:58:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:28 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:30 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.38; User: 13.93; System: 0.56) 
[2020-06-29 04:58:30 FUN] Running grid line #6 of 40... 
[2020-06-29 04:58:30 s.ADDTREE] Hello,  

[2020-06-29 04:58:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:58:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   2  26

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.8125 
Balanced Accuracy  0.8740 
              PPV  0.8286 
              NPV  0.9286 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:58:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:36 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:37 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.59; User: 12.10; System: 0.44) 
[2020-06-29 04:58:37 FUN] Running grid line #7 of 40... 
[2020-06-29 04:58:37 s.ADDTREE] Hello,  

[2020-06-29 04:58:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:58:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   7
                0   2  25

                   Overall  
      Sensitivity  0.9333 
      Specificity  0.7812 
Balanced Accuracy  0.8573 
              PPV  0.8000 
              NPV  0.9259 
               F1  0.8615 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:58:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:44 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:45 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 12.22; System: 0.34) 
[2020-06-29 04:58:45 FUN] Running grid line #8 of 40... 
[2020-06-29 04:58:45 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:58:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   4
                0   3  27

                   Overall  
      Sensitivity  0.9032 
      Specificity  0.8710 
Balanced Accuracy  0.8871 
              PPV  0.8750 
              NPV  0.9000 
               F1  0.8889 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:58:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:58:53 s.ADDTREE] Pruning tree... 

[2020-06-29 04:58:55 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.41; User: 15.61; System: 0.49) 
[2020-06-29 04:58:55 FUN] Running grid line #9 of 40... 
[2020-06-29 04:58:55 s.ADDTREE] Hello,  

[2020-06-29 04:58:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:58:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   8
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7949 
              NPV  1.0000 
               F1  0.8857 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:58:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:58:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:58:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:02 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:03 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.29; User: 13.54; System: 0.62) 
[2020-06-29 04:59:03 FUN] Running grid line #10 of 40... 
[2020-06-29 04:59:03 s.ADDTREE] Hello,  

[2020-06-29 04:59:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:59:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   9
                0   1  22

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.7097 
Balanced Accuracy  0.8382 
              PPV  0.7632 
              NPV  0.9565 
               F1  0.8529 
         Accuracy  0.8361 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 04:59:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:59:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:59:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:11 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:13 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.92; User: 16.63; System: 0.56) 
[2020-06-29 04:59:13 FUN] Running grid line #11 of 40... 
[2020-06-29 04:59:13 s.ADDTREE] Hello,  

[2020-06-29 04:59:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 04:59:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   1  29

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9355 
Balanced Accuracy  0.9511 
              PPV  0.9355 
              NPV  0.9667 
               F1  0.9508 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.7500 
Balanced Accuracy  0.6250 
              PPV  0.6667 
              NPV  0.6000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 04:59:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:59:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:59:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:21 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:23 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.32; User: 17.70; System: 0.42) 
[2020-06-29 04:59:23 FUN] Running grid line #12 of 40... 
[2020-06-29 04:59:23 s.ADDTREE] Hello,  

[2020-06-29 04:59:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 04:59:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   0  29

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9062 
Balanced Accuracy  0.9531 
              PPV  0.9118 
              NPV  1.0000 
               F1  0.9538 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 04:59:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:59:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:59:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:31 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:32 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.92; User: 14.58; System: 0.56) 
[2020-06-29 04:59:32 FUN] Running grid line #13 of 40... 
[2020-06-29 04:59:32 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:59:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   2  28

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9032 
Balanced Accuracy  0.9194 
              PPV  0.9062 
              NPV  0.9333 
               F1  0.9206 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:59:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:59:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:59:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:41 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:43 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 18.64; System: 0.45) 
[2020-06-29 04:59:43 FUN] Running grid line #14 of 40... 
[2020-06-29 04:59:43 s.ADDTREE] Hello,  

[2020-06-29 04:59:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:59:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 04:59:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 04:59:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 04:59:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 04:59:55 s.ADDTREE] Pruning tree... 

[2020-06-29 04:59:58 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.47; User: 25.53; System: 0.68) 
[2020-06-29 04:59:58 FUN] Running grid line #15 of 40... 
[2020-06-29 04:59:58 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 04:59:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   1  28

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9032 
Balanced Accuracy  0.9355 
              PPV  0.9091 
              NPV  0.9655 
               F1  0.9375 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:00:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:00:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:00:09 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.77; User: 18.41; System: 0.54) 
[2020-06-29 05:00:09 FUN] Running grid line #16 of 40... 
[2020-06-29 05:00:09 s.ADDTREE] Hello,  

[2020-06-29 05:00:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:00:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   0  32

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:00:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:00:20 s.ADDTREE] Pruning tree... 

[2020-06-29 05:00:23 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.14; User: 25.39; System: 0.42) 
[2020-06-29 05:00:23 FUN] Running grid line #17 of 40... 
[2020-06-29 05:00:23 s.ADDTREE] Hello,  

[2020-06-29 05:00:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:00:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9375 
              NPV  1.0000 
               F1  0.9677 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:00:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:00:32 s.ADDTREE] Pruning tree... 

[2020-06-29 05:00:34 s.ADDTREE] Run completed in 0.18 minutes (Real: 11; User: 18.64; System: 0.52) 
[2020-06-29 05:00:34 FUN] Running grid line #18 of 40... 
[2020-06-29 05:00:34 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:00:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   2  29

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.9355 
Balanced Accuracy  0.9355 
              PPV  0.9355 
              NPV  0.9355 
               F1  0.9355 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:00:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:00:42 s.ADDTREE] Pruning tree... 

[2020-06-29 05:00:44 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.44; User: 16.13; System: 0.30) 
[2020-06-29 05:00:44 FUN] Running grid line #19 of 40... 
[2020-06-29 05:00:44 s.ADDTREE] Hello,  

[2020-06-29 05:00:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:00:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   0  30

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9375 
Balanced Accuracy  0.9688 
              PPV  0.9394 
              NPV  1.0000 
               F1  0.9688 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:00:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:00:51 s.ADDTREE] Pruning tree... 

[2020-06-29 05:00:53 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.29; User: 15.80; System: 0.50) 
[2020-06-29 05:00:53 FUN] Running grid line #20 of 40... 
[2020-06-29 05:00:53 s.ADDTREE] Hello,  

[2020-06-29 05:00:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:00:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   1  30

                   Overall  
      Sensitivity  0.9667 
      Specificity  0.9677 
Balanced Accuracy  0.9672 
              PPV  0.9667 
              NPV  0.9677 
               F1  0.9667 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:00:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:00:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:00:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:02 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:05 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.54; User: 19.97; System: 0.49) 
[2020-06-29 05:01:05 FUN] Running grid line #21 of 40... 
[2020-06-29 05:01:05 s.ADDTREE] Hello,  

[2020-06-29 05:01:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:01:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   2  31

                   Overall  
      Sensitivity  0.9333 
      Specificity  1.0000 
Balanced Accuracy  0.9667 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9655 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:01:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:11 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:13 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.08; User: 13.43; System: 0.34) 
[2020-06-29 05:01:13 FUN] Running grid line #22 of 40... 
[2020-06-29 05:01:13 s.ADDTREE] Hello,  

[2020-06-29 05:01:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:01:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22   1
                0   9  31

                   Overall  
      Sensitivity  0.7097 
      Specificity  0.9688 
Balanced Accuracy  0.8392 
              PPV  0.9565 
              NPV  0.7750 
               F1  0.8148 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:01:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:19 s.ADDTREE] Run completed in 0.10 minutes (Real: 6; User: 9.40; System: 0.30) 
[2020-06-29 05:01:19 FUN] Running grid line #23 of 40... 
[2020-06-29 05:01:19 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:01:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  31

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9394 
               F1  0.9667 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:01:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:30 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.89; User: 18.85; System: 0.49) 
[2020-06-29 05:01:30 FUN] Running grid line #24 of 40... 
[2020-06-29 05:01:30 s.ADDTREE] Hello,  

[2020-06-29 05:01:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:01:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   1
                0   5  31

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9688 
Balanced Accuracy  0.9010 
              PPV  0.9615 
              NPV  0.8611 
               F1  0.8929 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:01:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:40 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.37; User: 17.72; System: 0.52) 
[2020-06-29 05:01:40 FUN] Running grid line #25 of 40... 
[2020-06-29 05:01:41 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:01:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   0  28

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9032 
Balanced Accuracy  0.9516 
              PPV  0.9118 
              NPV  1.0000 
               F1  0.9538 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:01:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:48 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:50 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.21; User: 15.64; System: 0.40) 
[2020-06-29 05:01:50 FUN] Running grid line #26 of 40... 
[2020-06-29 05:01:50 s.ADDTREE] Hello,  

[2020-06-29 05:01:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:01:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   2  32

                   Overall  
      Sensitivity  0.9355 
      Specificity  1.0000 
Balanced Accuracy  0.9677 
              PPV  1.0000 
              NPV  0.9412 
               F1  0.9667 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:01:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:01:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:01:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:01:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:01:59 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.29; User: 15.37; System: 0.40) 
[2020-06-29 05:01:59 FUN] Running grid line #27 of 40... 
[2020-06-29 05:01:59 s.ADDTREE] Hello,  

[2020-06-29 05:01:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   2
                0   3  30

                   Overall  
      Sensitivity  0.9000 
      Specificity  0.9375 
Balanced Accuracy  0.9188 
              PPV  0.9310 
              NPV  0.9091 
               F1  0.9153 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:02:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:06 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:08 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.37; User: 13.99; System: 0.47) 
[2020-06-29 05:02:08 FUN] Running grid line #28 of 40... 
[2020-06-29 05:02:08 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   4  30

                   Overall  
      Sensitivity  0.8710 
      Specificity  0.9677 
Balanced Accuracy  0.9194 
              PPV  0.9643 
              NPV  0.8824 
               F1  0.9153 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.7500 
Balanced Accuracy  0.5417 
              PPV  0.5000 
              NPV  0.6000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:02:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:14 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:15 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.68; User: 12.80; System: 0.32) 
[2020-06-29 05:02:16 FUN] Running grid line #29 of 40... 
[2020-06-29 05:02:16 s.ADDTREE] Hello,  

[2020-06-29 05:02:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:02:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   1  31

                   Overall  
      Sensitivity  0.9677 
      Specificity  0.9688 
Balanced Accuracy  0.9682 
              PPV  0.9677 
              NPV  0.9688 
               F1  0.9677 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:02:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:24 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 12.39; System: 0.43) 
[2020-06-29 05:02:24 FUN] Running grid line #30 of 40... 
[2020-06-29 05:02:24 s.ADDTREE] Hello,  

[2020-06-29 05:02:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:02:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8710 
Balanced Accuracy  0.9355 
              PPV  0.8824 
              NPV  1.0000 
               F1  0.9375 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:02:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:29 s.ADDTREE] Run completed in 0.08 minutes (Real: 5.06; User: 7.39; System: 0.32) 
[2020-06-29 05:02:29 FUN] Running grid line #31 of 40... 
[2020-06-29 05:02:29 s.ADDTREE] Hello,  

[2020-06-29 05:02:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:02:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  26
                0  13   5

                   Overall  
      Sensitivity  0.5667 
      Specificity  0.1613 
Balanced Accuracy  0.3640 
              PPV  0.3953 
              NPV  0.2778 
               F1  0.4658 
         Accuracy  0.3607 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:02:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:33 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:34 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.80; User: 6.74; System: 0.27) 
[2020-06-29 05:02:34 FUN] Running grid line #32 of 40... 
[2020-06-29 05:02:34 s.ADDTREE] Hello,  

[2020-06-29 05:02:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:02:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  22
                0   0  10

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3125 
Balanced Accuracy  0.6562 
              PPV  0.5849 
              NPV  1.0000 
               F1  0.7381 
         Accuracy  0.6508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:02:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:38 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.89; User: 5.15; System: 0.41) 
[2020-06-29 05:02:38 FUN] Running grid line #33 of 40... 
[2020-06-29 05:02:38 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   7
                0  30  24

                   Overall  
      Sensitivity  0.0323 
      Specificity  0.7742 
Balanced Accuracy  0.4032 
              PPV  0.1250 
              NPV  0.4444 
               F1  0.0513 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  4

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:02:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:43 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:43 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.31; User: 8.05; System: 0.31) 
[2020-06-29 05:02:44 FUN] Running grid line #34 of 40... 
[2020-06-29 05:02:44 s.ADDTREE] Hello,  

[2020-06-29 05:02:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  24
                0   8   8

                   Overall  
      Sensitivity  0.7333 
      Specificity  0.2500 
Balanced Accuracy  0.4917 
              PPV  0.4783 
              NPV  0.5000 
               F1  0.5789 
         Accuracy  0.4839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:02:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:47 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:48 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.22; User: 5.85; System: 0.28) 
[2020-06-29 05:02:48 FUN] Running grid line #35 of 40... 
[2020-06-29 05:02:48 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  22
                0  13   9

                   Overall  
      Sensitivity  0.5806 
      Specificity  0.2903 
Balanced Accuracy  0.4355 
              PPV  0.4500 
              NPV  0.4091 
               F1  0.5070 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  4
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.4286 
              NPV  NA     
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:02:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:52 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:53 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.98; User: 7.11; System: 0.41) 
[2020-06-29 05:02:53 FUN] Running grid line #36 of 40... 
[2020-06-29 05:02:53 s.ADDTREE] Hello,  

[2020-06-29 05:02:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:02:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  18
                0  22  14

                   Overall  
      Sensitivity  0.2903 
      Specificity  0.4375 
Balanced Accuracy  0.3639 
              PPV  0.3333 
              NPV  0.3889 
               F1  0.3103 
         Accuracy  0.3651 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 05:02:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:02:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:02:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:02:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:02:57 s.ADDTREE] Run completed in 0.07 minutes (Real: 4; User: 5.50; System: 0.28) 
[2020-06-29 05:02:57 FUN] Running grid line #37 of 40... 
[2020-06-29 05:02:57 s.ADDTREE] Hello,  

[2020-06-29 05:02:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:02:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7  14
                0  23  18

                   Overall  
      Sensitivity  0.2333 
      Specificity  0.5625 
Balanced Accuracy  0.3979 
              PPV  0.3333 
              NPV  0.4390 
               F1  0.2745 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:03:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:01 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:02 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.16; User: 7.48; System: 0.42) 
[2020-06-29 05:03:02 FUN] Running grid line #38 of 40... 
[2020-06-29 05:03:02 s.ADDTREE] Hello,  

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:03:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6  10
                0  25  21

                   Overall  
      Sensitivity  0.1935 
      Specificity  0.6774 
Balanced Accuracy  0.4355 
              PPV  0.3750 
              NPV  0.4565 
               F1  0.2553 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.7500 
Balanced Accuracy  0.5417 
              PPV  0.5000 
              NPV  0.6000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:03:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:08 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.61; User: 8.36; System: 0.37) 
[2020-06-29 05:03:08 FUN] Running grid line #39 of 40... 
[2020-06-29 05:03:08 s.ADDTREE] Hello,  

[2020-06-29 05:03:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:03:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29  21
                0   2  11

                   Overall  
      Sensitivity  0.9355 
      Specificity  0.3438 
Balanced Accuracy  0.6396 
              PPV  0.5800 
              NPV  0.8462 
               F1  0.7160 
         Accuracy  0.6349 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  NA     
               F1  0.6667 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:03:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:13 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.13; User: 7.55; System: 0.25) 
[2020-06-29 05:03:13 FUN] Running grid line #40 of 40... 
[2020-06-29 05:03:13 s.ADDTREE] Hello,  

[2020-06-29 05:03:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:03:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   7
                0  24  24

                   Overall  
      Sensitivity  0.2000 
      Specificity  0.7742 
Balanced Accuracy  0.4871 
              PPV  0.4615 
              NPV  0.5000 
               F1  0.2791 
         Accuracy  0.4918 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.7500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.3333 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:03:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:17 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:18 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.80; User: 6.83; System: 0.39) 


[[ elevate ADDTREE ]]
   N repeats = 1 
   N resamples = 10 
   Resampler = kfold 
   Balanced Accuracy of 10 aggregated test sets in each repeat = 0.68

[2020-06-29 05:03:24 elevate] Run completed in 59.28 minutes (Real: 3556.78; User: 5836.36; System: 186.17) 

saveRDS(cases.force.tree, "cases-force-tree.rds")

cases.op.tree <- elevate(cases.op, mod = "addtree",
                           resampler = "kfold", n.resamples = 10,
                           grid.resample.rtset = rtset.resample("kfold", 10),
                           gamma = c(0.1, 0.5, 0.9, 1.3),
                           learning.rate = 0.001,
                           seed = 2020)

[2020-06-29 05:03:35 elevate] Hello,  

[[ Classification Input Summary ]]
   Training features: 77 x 39 
    Training outcome: 77 x 1 

[2020-06-29 05:03:35 resLearn] Training Additive Tree on 10 independent folds... 

  |                                                  | 0 % ~calculating  [2020-06-29 05:03:35 FUN] Running grid line #1 of 40... 
[2020-06-29 05:03:35 s.ADDTREE] Hello,  

[2020-06-29 05:03:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:03:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   4  25

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9259 
Balanced Accuracy  0.9041 
              PPV  0.9375 
              NPV  0.8621 
               F1  0.9091 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:03:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:45 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:47 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.38; User: 18.81; System: 0.55) 
[2020-06-29 05:03:47 FUN] Running grid line #2 of 40... 
[2020-06-29 05:03:47 s.ADDTREE] Hello,  

[2020-06-29 05:03:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:03:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   6  27

                   Overall  
      Sensitivity  0.8235 
      Specificity  1.0000 
Balanced Accuracy  0.9118 
              PPV  1.0000 
              NPV  0.8182 
               F1  0.9032 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:03:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:03:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:03:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:03:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:03:55 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.41; User: 14.05; System: 0.43) 
[2020-06-29 05:03:55 FUN] Running grid line #3 of 40... 
[2020-06-29 05:03:55 s.ADDTREE] Hello,  

[2020-06-29 05:03:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:03:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   5  24

                   Overall  
      Sensitivity  0.8529 
      Specificity  0.8889 
Balanced Accuracy  0.8709 
              PPV  0.9062 
              NPV  0.8276 
               F1  0.8788 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:04:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:02 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:03 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.94; User: 12.94; System: 0.48) 
[2020-06-29 05:04:03 FUN] Running grid line #4 of 40... 
[2020-06-29 05:04:03 s.ADDTREE] Hello,  

[2020-06-29 05:04:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:04:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   3
                0   3  24

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8889 
Balanced Accuracy  0.9016 
              PPV  0.9143 
              NPV  0.8889 
               F1  0.9143 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:04:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:14 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.83; User: 18.50; System: 0.58) 
[2020-06-29 05:04:14 FUN] Running grid line #5 of 40... 
[2020-06-29 05:04:14 s.ADDTREE] Hello,  

[2020-06-29 05:04:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:04:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  25

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9259 
Balanced Accuracy  0.9336 
              PPV  0.9412 
              NPV  0.9259 
               F1  0.9412 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:04:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:25 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.65; User: 18.44; System: 0.54) 
[2020-06-29 05:04:25 FUN] Running grid line #6 of 40... 
[2020-06-29 05:04:25 s.ADDTREE] Hello,  

[2020-06-29 05:04:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:04:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   7  26

                   Overall  
      Sensitivity  0.7941 
      Specificity  0.9630 
Balanced Accuracy  0.8785 
              PPV  0.9643 
              NPV  0.7879 
               F1  0.8710 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:04:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:36 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:38 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.11; User: 21.79; System: 0.51) 
[2020-06-29 05:04:38 FUN] Running grid line #7 of 40... 
[2020-06-29 05:04:38 s.ADDTREE] Hello,  

[2020-06-29 05:04:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:04:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   4  25

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9259 
Balanced Accuracy  0.9058 
              PPV  0.9394 
              NPV  0.8621 
               F1  0.9118 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:04:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:47 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:49 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.54; User: 17.85; System: 0.45) 
[2020-06-29 05:04:49 FUN] Running grid line #8 of 40... 
[2020-06-29 05:04:49 s.ADDTREE] Hello,  

[2020-06-29 05:04:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:04:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   4
                0   2  23

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.8519 
Balanced Accuracy  0.8965 
              PPV  0.8889 
              NPV  0.9200 
               F1  0.9143 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:04:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:04:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:04:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:04:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:04:58 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.18; User: 15.37; System: 0.49) 
[2020-06-29 05:04:58 FUN] Running grid line #9 of 40... 
[2020-06-29 05:04:58 s.ADDTREE] Hello,  

[2020-06-29 05:04:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:04:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   6  24

                   Overall  
      Sensitivity  0.8235 
      Specificity  0.8889 
Balanced Accuracy  0.8562 
              PPV  0.9032 
              NPV  0.8000 
               F1  0.8615 
         Accuracy  0.8525 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:05:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:05:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:05:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:05:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:05:08 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.76; User: 16.28; System: 0.43) 
[2020-06-29 05:05:08 FUN] Running grid line #10 of 40... 
[2020-06-29 05:05:08 s.ADDTREE] Hello,  

[2020-06-29 05:05:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:05:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   6
                0   3  21

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.7778 
Balanced Accuracy  0.8448 
              PPV  0.8378 
              NPV  0.8750 
               F1  0.8732 
         Accuracy  0.8525 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:05:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:05:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:05:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:05:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:05:16 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.47; User: 12.11; System: 0.50) 
[2020-06-29 05:05:16 FUN] Running grid line #11 of 40... 
[2020-06-29 05:05:16 s.ADDTREE] Hello,  

[2020-06-29 05:05:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:05:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   5  25

                   Overall  
      Sensitivity  0.8529 
      Specificity  0.9259 
Balanced Accuracy  0.8894 
              PPV  0.9355 
              NPV  0.8333 
               F1  0.8923 
         Accuracy  0.8852 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:05:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:05:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:05:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:05:27 s.ADDTREE] Pruning tree... 

[2020-06-29 05:05:30 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.47; User: 25.53; System: 0.60) 
[2020-06-29 05:05:30 FUN] Running grid line #12 of 40... 
[2020-06-29 05:05:30 s.ADDTREE] Hello,  

[2020-06-29 05:05:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:05:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:05:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:05:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:05:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:05:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:05:43 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.08; User: 21.02; System: 0.55) 
[2020-06-29 05:05:43 FUN] Running grid line #13 of 40... 
[2020-06-29 05:05:43 s.ADDTREE] Hello,  

[2020-06-29 05:05:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:05:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   3
                0   2  24

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.8889 
Balanced Accuracy  0.9150 
              PPV  0.9143 
              NPV  0.9231 
               F1  0.9275 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:05:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:05:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:05:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:05:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:05:56 s.ADDTREE] Run completed in 0.22 minutes (Real: 13; User: 22.66; System: 0.59) 
[2020-06-29 05:05:56 FUN] Running grid line #14 of 40... 
[2020-06-29 05:05:56 s.ADDTREE] Hello,  

[2020-06-29 05:05:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:05:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9630 
Balanced Accuracy  0.9529 
              PPV  0.9706 
              NPV  0.9286 
               F1  0.9565 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:06:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:06:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:06:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:06:08 s.ADDTREE] Pruning tree... 

[2020-06-29 05:06:11 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.74; User: 27.97; System: 0.60) 
[2020-06-29 05:06:12 FUN] Running grid line #15 of 40... 
[2020-06-29 05:06:12 s.ADDTREE] Hello,  

[2020-06-29 05:06:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:06:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  25

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9259 
Balanced Accuracy  0.9336 
              PPV  0.9412 
              NPV  0.9259 
               F1  0.9412 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:06:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:06:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:06:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:06:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:06:25 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.81; User: 24.08; System: 0.70) 
[2020-06-29 05:06:25 FUN] Running grid line #16 of 40... 
[2020-06-29 05:06:26 s.ADDTREE] Hello,  

[2020-06-29 05:06:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:06:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9630 
Balanced Accuracy  0.9227 
              PPV  0.9677 
              NPV  0.8667 
               F1  0.9231 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:06:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:06:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:06:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:06:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:06:41 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.49; User: 27.10; System: 0.76) 
[2020-06-29 05:06:41 FUN] Running grid line #17 of 40... 
[2020-06-29 05:06:41 s.ADDTREE] Hello,  

[2020-06-29 05:06:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:06:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:06:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:06:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:06:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:06:52 s.ADDTREE] Pruning tree... 

[2020-06-29 05:06:55 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.84; User: 24.03; System: 0.62) 
[2020-06-29 05:06:55 FUN] Running grid line #18 of 40... 
[2020-06-29 05:06:55 s.ADDTREE] Hello,  

[2020-06-29 05:06:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:06:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   1  24

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.8889 
Balanced Accuracy  0.9297 
              PPV  0.9167 
              NPV  0.9600 
               F1  0.9429 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:07:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:06 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.83; User: 18.24; System: 0.53) 
[2020-06-29 05:07:06 FUN] Running grid line #19 of 40... 
[2020-06-29 05:07:06 s.ADDTREE] Hello,  

[2020-06-29 05:07:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:07:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   1  24

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.8889 
Balanced Accuracy  0.9297 
              PPV  0.9167 
              NPV  0.9600 
               F1  0.9429 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:07:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:19 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.84; User: 22; System: 0.60) 
[2020-06-29 05:07:19 FUN] Running grid line #20 of 40... 
[2020-06-29 05:07:19 s.ADDTREE] Hello,  

[2020-06-29 05:07:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:07:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9444 
              NPV  1.0000 
               F1  0.9714 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:07:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:29 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:32 s.ADDTREE] Run completed in 0.22 minutes (Real: 12.99; User: 22.41; System: 0.70) 
[2020-06-29 05:07:32 FUN] Running grid line #21 of 40... 
[2020-06-29 05:07:32 s.ADDTREE] Hello,  

[2020-06-29 05:07:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:07:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   3  27

                   Overall  
      Sensitivity  0.9118 
      Specificity  1.0000 
Balanced Accuracy  0.9559 
              PPV  1.0000 
              NPV  0.9000 
               F1  0.9538 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:07:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:42 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.82; User: 16.28; System: 0.64) 
[2020-06-29 05:07:42 FUN] Running grid line #22 of 40... 
[2020-06-29 05:07:42 s.ADDTREE] Hello,  

[2020-06-29 05:07:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:07:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   0  27

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  2  0

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.0000 
Balanced Accuracy  0.2500 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:07:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:49 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:50 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.40; User: 13.31; System: 0.39) 
[2020-06-29 05:07:50 FUN] Running grid line #23 of 40... 
[2020-06-29 05:07:51 s.ADDTREE] Hello,  

[2020-06-29 05:07:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:07:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9630 
Balanced Accuracy  0.9521 
              PPV  0.9697 
              NPV  0.9286 
               F1  0.9552 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:07:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:07:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:07:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:07:58 s.ADDTREE] Pruning tree... 

[2020-06-29 05:07:59 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.66; User: 13.95; System: 0.50) 
[2020-06-29 05:07:59 FUN] Running grid line #24 of 40... 
[2020-06-29 05:07:59 s.ADDTREE] Hello,  

[2020-06-29 05:07:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:08:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  25

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9259 
Balanced Accuracy  0.8915 
              PPV  0.9375 
              NPV  0.8333 
               F1  0.8955 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:08:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:08:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:08:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:08:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:08:15 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.09; User: 26.14; System: 0.80) 
[2020-06-29 05:08:15 FUN] Running grid line #25 of 40... 
[2020-06-29 05:08:15 s.ADDTREE] Hello,  

[2020-06-29 05:08:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:08:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   1  25

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9259 
Balanced Accuracy  0.9483 
              PPV  0.9429 
              NPV  0.9615 
               F1  0.9565 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:08:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:08:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:08:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:08:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:08:24 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.95; User: 14.06; System: 0.61) 
[2020-06-29 05:08:24 FUN] Running grid line #26 of 40... 
[2020-06-29 05:08:25 s.ADDTREE] Hello,  

[2020-06-29 05:08:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:08:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   3  27

                   Overall  
      Sensitivity  0.9118 
      Specificity  1.0000 
Balanced Accuracy  0.9559 
              PPV  1.0000 
              NPV  0.9000 
               F1  0.9538 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:08:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:08:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:08:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:08:34 s.ADDTREE] Pruning tree... 

[2020-06-29 05:08:36 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.17; User: 18.39; System: 0.58) 
[2020-06-29 05:08:36 FUN] Running grid line #27 of 40... 
[2020-06-29 05:08:36 s.ADDTREE] Hello,  

[2020-06-29 05:08:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:08:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9630 
Balanced Accuracy  0.9672 
              PPV  0.9714 
              NPV  0.9630 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:08:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:08:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:08:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:08:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:08:46 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.58; User: 17.44; System: 0.59) 
[2020-06-29 05:08:47 FUN] Running grid line #28 of 40... 
[2020-06-29 05:08:47 s.ADDTREE] Hello,  

[2020-06-29 05:08:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:08:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   0  27

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:08:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:08:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:08:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:08:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:08:56 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.41; User: 14.92; System: 0.57) 
[2020-06-29 05:08:56 FUN] Running grid line #29 of 40... 
[2020-06-29 05:08:56 s.ADDTREE] Hello,  

[2020-06-29 05:08:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:08:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   3  25

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.9259 
Balanced Accuracy  0.9188 
              PPV  0.9394 
              NPV  0.8929 
               F1  0.9254 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:09:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:05 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.50; User: 13.41; System: 0.39) 
[2020-06-29 05:09:05 FUN] Running grid line #30 of 40... 
[2020-06-29 05:09:05 s.ADDTREE] Hello,  

[2020-06-29 05:09:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9714 
              NPV  1.0000 
               F1  0.9855 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:09:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:13 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:15 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.95; User: 15.52; System: 0.49) 
[2020-06-29 05:09:15 FUN] Running grid line #31 of 40... 
[2020-06-29 05:09:15 s.ADDTREE] Hello,  

[2020-06-29 05:09:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   9
                0  29  18

                   Overall  
      Sensitivity  0.1471 
      Specificity  0.6667 
Balanced Accuracy  0.4069 
              PPV  0.3571 
              NPV  0.3830 
               F1  0.2083 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:09:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:21 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:22 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.61; User: 11.72; System: 0.39) 
[2020-06-29 05:09:22 FUN] Running grid line #32 of 40... 
[2020-06-29 05:09:23 s.ADDTREE] Hello,  

[2020-06-29 05:09:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0  23  22

                   Overall  
      Sensitivity  0.3235 
      Specificity  0.8148 
Balanced Accuracy  0.5692 
              PPV  0.6875 
              NPV  0.4889 
               F1  0.4400 
         Accuracy  0.5410 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:09:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:26 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:26 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.78; User: 4.84; System: 0.44) 
[2020-06-29 05:09:26 FUN] Running grid line #33 of 40... 
[2020-06-29 05:09:27 s.ADDTREE] Hello,  

[2020-06-29 05:09:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9   7
                0  25  20

                   Overall  
      Sensitivity  0.2647 
      Specificity  0.7407 
Balanced Accuracy  0.5027 
              PPV  0.5625 
              NPV  0.4444 
               F1  0.3600 
         Accuracy  0.4754 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:09:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:32 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.69; User: 8.03; System: 0.44) 
[2020-06-29 05:09:32 FUN] Running grid line #34 of 40... 
[2020-06-29 05:09:32 s.ADDTREE] Hello,  

[2020-06-29 05:09:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:09:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  15
                0  25  12

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.4444 
Balanced Accuracy  0.3651 
              PPV  0.4000 
              NPV  0.3243 
               F1  0.3333 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:09:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:39 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.48; User: 9.75; System: 0.38) 
[2020-06-29 05:09:39 FUN] Running grid line #35 of 40... 
[2020-06-29 05:09:39 s.ADDTREE] Hello,  

[2020-06-29 05:09:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   3
                0  29  24

                   Overall  
      Sensitivity  0.1471 
      Specificity  0.8889 
Balanced Accuracy  0.5180 
              PPV  0.6250 
              NPV  0.4528 
               F1  0.2381 
         Accuracy  0.4754 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:09:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:45 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.83; User: 8.42; System: 0.40) 
[2020-06-29 05:09:45 FUN] Running grid line #36 of 40... 
[2020-06-29 05:09:45 s.ADDTREE] Hello,  

[2020-06-29 05:09:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7  11
                0  27  16

                   Overall  
      Sensitivity  0.2059 
      Specificity  0.5926 
Balanced Accuracy  0.3992 
              PPV  0.3889 
              NPV  0.3721 
               F1  0.2692 
         Accuracy  0.3770 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:09:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:51 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:52 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.22; User: 11; System: 0.36) 
[2020-06-29 05:09:52 FUN] Running grid line #37 of 40... 
[2020-06-29 05:09:52 s.ADDTREE] Hello,  

[2020-06-29 05:09:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:09:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21  12
                0  14  15

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.5556 
Balanced Accuracy  0.5778 
              PPV  0.6364 
              NPV  0.5172 
               F1  0.6176 
         Accuracy  0.5806 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:09:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:09:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:09:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:09:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:09:58 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.03; User: 9.02; System: 0.21) 
[2020-06-29 05:09:58 FUN] Running grid line #38 of 40... 
[2020-06-29 05:09:58 s.ADDTREE] Hello,  

[2020-06-29 05:09:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:09:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   1
                0  30  26

                   Overall  
      Sensitivity  0.1176 
      Specificity  0.9630 
Balanced Accuracy  0.5403 
              PPV  0.8000 
              NPV  0.4643 
               F1  0.2051 
         Accuracy  0.4918 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:10:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:04 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.21; User: 7.35; System: 0.30) 
[2020-06-29 05:10:04 FUN] Running grid line #39 of 40... 
[2020-06-29 05:10:04 s.ADDTREE] Hello,  

[2020-06-29 05:10:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:10:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  18
                0  22   9

                   Overall  
      Sensitivity  0.3529 
      Specificity  0.3333 
Balanced Accuracy  0.3431 
              PPV  0.4000 
              NPV  0.2903 
               F1  0.3750 
         Accuracy  0.3443 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  2  0

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.0000 
Balanced Accuracy  0.2500 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:10:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:10 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:11 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.28; User: 11.25; System: 0.56) 
[2020-06-29 05:10:11 FUN] Running grid line #40 of 40... 
[2020-06-29 05:10:11 s.ADDTREE] Hello,  

[2020-06-29 05:10:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:10:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32  27
                0   2   0

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.0000 
Balanced Accuracy  0.4706 
              PPV  0.5424 
              NPV  0.0000 
               F1  0.6882 
         Accuracy  0.5246 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5714 
              NPV  NA     
               F1  0.7273 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:10:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:16 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.75; User: 6.53; System: 0.30) 
[2020-06-29 05:10:25 FUN] Running grid line #1 of 40... 
[2020-06-29 05:10:25 s.ADDTREE] Hello,  

[2020-06-29 05:10:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:10:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   5
                0   1  22

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8148 
Balanced Accuracy  0.8931 
              PPV  0.8718 
              NPV  0.9565 
               F1  0.9189 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:10:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:34 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:36 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.61; User: 19.02; System: 0.70) 
[2020-06-29 05:10:36 FUN] Running grid line #2 of 40... 
[2020-06-29 05:10:36 s.ADDTREE] Hello,  

[2020-06-29 05:10:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:10:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   4  25

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8929 
Balanced Accuracy  0.8893 
              PPV  0.9118 
              NPV  0.8621 
               F1  0.8986 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:10:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:47 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.20; User: 18.08; System: 0.69) 
[2020-06-29 05:10:48 FUN] Running grid line #3 of 40... 
[2020-06-29 05:10:48 s.ADDTREE] Hello,  

[2020-06-29 05:10:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:10:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   4
                0   4  24

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8571 
Balanced Accuracy  0.8714 
              PPV  0.8857 
              NPV  0.8571 
               F1  0.8857 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:10:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:10:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:10:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:10:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:10:58 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.78; User: 17.73; System: 0.50) 
[2020-06-29 05:10:58 FUN] Running grid line #4 of 40... 
[2020-06-29 05:10:58 s.ADDTREE] Hello,  

[2020-06-29 05:10:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:10:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:11:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:11:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:11:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:11:08 s.ADDTREE] Pruning tree... 

[2020-06-29 05:11:11 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.25; User: 20.28; System: 0.62) 
[2020-06-29 05:11:11 FUN] Running grid line #5 of 40... 
[2020-06-29 05:11:11 s.ADDTREE] Hello,  

[2020-06-29 05:11:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:11:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:11:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:11:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:11:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:11:21 s.ADDTREE] Pruning tree... 

[2020-06-29 05:11:23 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.63; User: 21.14; System: 0.77) 
[2020-06-29 05:11:24 FUN] Running grid line #6 of 40... 
[2020-06-29 05:11:24 s.ADDTREE] Hello,  

[2020-06-29 05:11:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:11:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   6  27

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9643 
Balanced Accuracy  0.8988 
              PPV  0.9677 
              NPV  0.8182 
               F1  0.8955 
         Accuracy  0.8906 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:11:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:11:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:11:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:11:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:11:33 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 14.03; System: 0.67) 
[2020-06-29 05:11:33 FUN] Running grid line #7 of 40... 
[2020-06-29 05:11:33 s.ADDTREE] Hello,  

[2020-06-29 05:11:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:11:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   5  28

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.8485 
               F1  0.9231 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:11:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:11:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:11:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:11:43 s.ADDTREE] Pruning tree... 

[2020-06-29 05:11:45 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.58; User: 20.88; System: 0.68) 
[2020-06-29 05:11:45 FUN] Running grid line #8 of 40... 
[2020-06-29 05:11:45 s.ADDTREE] Hello,  

[2020-06-29 05:11:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:11:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   6  26

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9286 
Balanced Accuracy  0.8786 
              PPV  0.9355 
              NPV  0.8125 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:11:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:11:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:11:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:11:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:11:56 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.89; User: 18.45; System: 0.52) 
[2020-06-29 05:11:56 FUN] Running grid line #9 of 40... 
[2020-06-29 05:11:56 s.ADDTREE] Hello,  

[2020-06-29 05:11:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:11:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  26

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9286 
Balanced Accuracy  0.8929 
              PPV  0.9375 
              NPV  0.8387 
               F1  0.8955 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:12:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:12:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:12:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:12:05 s.ADDTREE] Pruning tree... 

[2020-06-29 05:12:07 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.67; User: 17.65; System: 0.62) 
[2020-06-29 05:12:07 FUN] Running grid line #10 of 40... 
[2020-06-29 05:12:07 s.ADDTREE] Hello,  

[2020-06-29 05:12:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:12:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   6  26

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9286 
Balanced Accuracy  0.8786 
              PPV  0.9355 
              NPV  0.8125 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:12:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:12:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:12:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:12:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:12:18 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.20; User: 18.87; System: 0.78) 
[2020-06-29 05:12:19 FUN] Running grid line #11 of 40... 
[2020-06-29 05:12:19 s.ADDTREE] Hello,  

[2020-06-29 05:12:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:12:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   2  24

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.8889 
Balanced Accuracy  0.9159 
              PPV  0.9167 
              NPV  0.9231 
               F1  0.9296 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.7500 
Balanced Accuracy  0.7500 
              PPV  0.7500 
              NPV  0.7500 
               F1  0.7500 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:12:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:12:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:12:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:12:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:12:31 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.11; User: 20.16; System: 0.47) 
[2020-06-29 05:12:31 FUN] Running grid line #12 of 40... 
[2020-06-29 05:12:31 s.ADDTREE] Hello,  

[2020-06-29 05:12:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:12:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8929 
Balanced Accuracy  0.9321 
              PPV  0.9189 
              NPV  0.9615 
               F1  0.9444 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:12:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:12:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:12:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:12:42 s.ADDTREE] Pruning tree... 

[2020-06-29 05:12:45 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.94; User: 24.20; System: 0.70) 
[2020-06-29 05:12:45 FUN] Running grid line #13 of 40... 
[2020-06-29 05:12:45 s.ADDTREE] Hello,  

[2020-06-29 05:12:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:12:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:12:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:12:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:12:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:12:59 s.ADDTREE] Pruning tree... 

[2020-06-29 05:13:03 s.ADDTREE] Run completed in 0.30 minutes (Real: 18.23; User: 32.03; System: 0.76) 
[2020-06-29 05:13:03 FUN] Running grid line #14 of 40... 
[2020-06-29 05:13:03 s.ADDTREE] Hello,  

[2020-06-29 05:13:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:13:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:13:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:13:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:13:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:13:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:13:18 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.43; User: 24.28; System: 0.92) 
[2020-06-29 05:13:18 FUN] Running grid line #15 of 40... 
[2020-06-29 05:13:18 s.ADDTREE] Hello,  

[2020-06-29 05:13:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:13:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:13:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:13:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:13:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:13:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:13:35 s.ADDTREE] Run completed in 0.28 minutes (Real: 17.03; User: 29.47; System: 0.97) 
[2020-06-29 05:13:35 FUN] Running grid line #16 of 40... 
[2020-06-29 05:13:35 s.ADDTREE] Hello,  

[2020-06-29 05:13:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:13:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   4  27

                   Overall  
      Sensitivity  0.8889 
      Specificity  0.9643 
Balanced Accuracy  0.9266 
              PPV  0.9697 
              NPV  0.8710 
               F1  0.9275 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:13:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:13:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:13:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:13:43 s.ADDTREE] Pruning tree... 

[2020-06-29 05:13:45 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.60; User: 15.83; System: 0.54) 
[2020-06-29 05:13:45 FUN] Running grid line #17 of 40... 
[2020-06-29 05:13:45 s.ADDTREE] Hello,  

[2020-06-29 05:13:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:13:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   4  28

                   Overall  
      Sensitivity  0.8857 
      Specificity  1.0000 
Balanced Accuracy  0.9429 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9394 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:13:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:13:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:13:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:13:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:13:58 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.40; User: 23.22; System: 0.59) 
[2020-06-29 05:13:58 FUN] Running grid line #18 of 40... 
[2020-06-29 05:13:58 s.ADDTREE] Hello,  

[2020-06-29 05:13:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:13:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:14:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:14:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:14:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:14:10 s.ADDTREE] Pruning tree... 

[2020-06-29 05:14:12 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.33; User: 24.84; System: 0.69) 
[2020-06-29 05:14:13 FUN] Running grid line #19 of 40... 
[2020-06-29 05:14:13 s.ADDTREE] Hello,  

[2020-06-29 05:14:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:14:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:14:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:14:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:14:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:14:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:14:25 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.32; User: 20.66; System: 0.61) 
[2020-06-29 05:14:25 FUN] Running grid line #20 of 40... 
[2020-06-29 05:14:25 s.ADDTREE] Hello,  

[2020-06-29 05:14:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:14:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:14:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:14:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:14:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:14:35 s.ADDTREE] Pruning tree... 

[2020-06-29 05:14:38 s.ADDTREE] Run completed in 0.22 minutes (Real: 13; User: 21.61; System: 0.82) 
[2020-06-29 05:14:38 FUN] Running grid line #21 of 40... 
[2020-06-29 05:14:38 s.ADDTREE] Hello,  

[2020-06-29 05:14:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:14:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 05:14:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:14:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:14:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:14:45 s.ADDTREE] Pruning tree... 

[2020-06-29 05:14:46 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.92; User: 12.36; System: 0.40) 
[2020-06-29 05:14:46 FUN] Running grid line #22 of 40... 
[2020-06-29 05:14:46 s.ADDTREE] Hello,  

[2020-06-29 05:14:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:14:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:14:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:14:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:14:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:14:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:14:56 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.39; User: 15.30; System: 0.61) 
[2020-06-29 05:14:56 FUN] Running grid line #23 of 40... 
[2020-06-29 05:14:56 s.ADDTREE] Hello,  

[2020-06-29 05:14:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:14:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   3  27

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9643 
Balanced Accuracy  0.9393 
              PPV  0.9697 
              NPV  0.9000 
               F1  0.9412 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:15:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:10 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.75; User: 23.59; System: 0.80) 
[2020-06-29 05:15:10 FUN] Running grid line #24 of 40... 
[2020-06-29 05:15:10 s.ADDTREE] Hello,  

[2020-06-29 05:15:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:15:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:15:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:18 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 12.46; System: 0.45) 
[2020-06-29 05:15:18 FUN] Running grid line #25 of 40... 
[2020-06-29 05:15:18 s.ADDTREE] Hello,  

[2020-06-29 05:15:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:15:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:15:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:30 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.62; User: 21.07; System: 0.71) 
[2020-06-29 05:15:30 FUN] Running grid line #26 of 40... 
[2020-06-29 05:15:31 s.ADDTREE] Hello,  

[2020-06-29 05:15:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:15:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   1  27

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.9643 
Balanced Accuracy  0.9683 
              PPV  0.9722 
              NPV  0.9643 
               F1  0.9722 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:15:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:36 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:37 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.41; User: 9.53; System: 0.45) 
[2020-06-29 05:15:37 FUN] Running grid line #27 of 40... 
[2020-06-29 05:15:37 s.ADDTREE] Hello,  

[2020-06-29 05:15:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:15:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   7  28

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8889 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:15:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:45 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.72; User: 11.88; System: 0.42) 
[2020-06-29 05:15:45 FUN] Running grid line #28 of 40... 
[2020-06-29 05:15:45 s.ADDTREE] Hello,  

[2020-06-29 05:15:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:15:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:15:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:15:51 s.ADDTREE] Pruning tree... 

[2020-06-29 05:15:53 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.80; User: 12.42; System: 0.36) 
[2020-06-29 05:15:53 FUN] Running grid line #29 of 40... 
[2020-06-29 05:15:53 s.ADDTREE] Hello,  

[2020-06-29 05:15:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:15:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8929 
Balanced Accuracy  0.9464 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:15:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:15:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:15:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:01 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:02 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.50; User: 15.31; System: 0.53) 
[2020-06-29 05:16:02 FUN] Running grid line #30 of 40... 
[2020-06-29 05:16:02 s.ADDTREE] Hello,  

[2020-06-29 05:16:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:16:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:15 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.21; User: 20.66; System: 0.50) 
[2020-06-29 05:16:15 FUN] Running grid line #31 of 40... 
[2020-06-29 05:16:15 s.ADDTREE] Hello,  

[2020-06-29 05:16:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:16:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  16
                0  18  11

                   Overall  
      Sensitivity  0.4857 
      Specificity  0.4074 
Balanced Accuracy  0.4466 
              PPV  0.5152 
              NPV  0.3793 
               F1  0.5000 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:16:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:20 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:21 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.25; User: 8.83; System: 0.34) 
[2020-06-29 05:16:21 FUN] Running grid line #32 of 40... 
[2020-06-29 05:16:21 s.ADDTREE] Hello,  

[2020-06-29 05:16:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  20
                0  23   8

                   Overall  
      Sensitivity  0.3429 
      Specificity  0.2857 
Balanced Accuracy  0.3143 
              PPV  0.3750 
              NPV  0.2581 
               F1  0.3582 
         Accuracy  0.3175 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:16:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:26 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:26 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.89; User: 6.52; System: 0.43) 
[2020-06-29 05:16:26 FUN] Running grid line #33 of 40... 
[2020-06-29 05:16:26 s.ADDTREE] Hello,  

[2020-06-29 05:16:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16   9
                0  19  19

                   Overall  
      Sensitivity  0.4571 
      Specificity  0.6786 
Balanced Accuracy  0.5679 
              PPV  0.6400 
              NPV  0.5000 
               F1  0.5333 
         Accuracy  0.5556 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:16:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:32 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:32 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.22; User: 8.10; System: 0.29) 
[2020-06-29 05:16:33 FUN] Running grid line #34 of 40... 
[2020-06-29 05:16:33 s.ADDTREE] Hello,  

[2020-06-29 05:16:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21  16
                0  14  12

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.4286 
Balanced Accuracy  0.5143 
              PPV  0.5676 
              NPV  0.4615 
               F1  0.5833 
         Accuracy  0.5238 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:16:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:42 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.59; User: 15.23; System: 0.64) 
[2020-06-29 05:16:42 FUN] Running grid line #35 of 40... 
[2020-06-29 05:16:42 s.ADDTREE] Hello,  

[2020-06-29 05:16:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  14
                0  24  14

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.5000 
Balanced Accuracy  0.4071 
              PPV  0.4400 
              NPV  0.3684 
               F1  0.3667 
         Accuracy  0.3968 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:16:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:47 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.56; User: 6.25; System: 0.33) 
[2020-06-29 05:16:47 FUN] Running grid line #36 of 40... 
[2020-06-29 05:16:47 s.ADDTREE] Hello,  

[2020-06-29 05:16:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:16:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  10
                0   8  18

                   Overall  
      Sensitivity  0.7778 
      Specificity  0.6429 
Balanced Accuracy  0.7103 
              PPV  0.7368 
              NPV  0.6923 
               F1  0.7568 
         Accuracy  0.7188 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:16:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:52 s.ADDTREE] Pruning tree... 

[2020-06-29 05:16:53 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.56; User: 7.89; System: 0.42) 
[2020-06-29 05:16:53 FUN] Running grid line #37 of 40... 
[2020-06-29 05:16:53 s.ADDTREE] Hello,  

[2020-06-29 05:16:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:16:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13  12
                0  22  16

                   Overall  
      Sensitivity  0.3714 
      Specificity  0.5714 
Balanced Accuracy  0.4714 
              PPV  0.5200 
              NPV  0.4211 
               F1  0.4333 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:16:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:16:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:16:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:16:59 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:01 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.98; User: 12.47; System: 0.34) 
[2020-06-29 05:17:01 FUN] Running grid line #38 of 40... 
[2020-06-29 05:17:01 s.ADDTREE] Hello,  

[2020-06-29 05:17:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  10
                0   7  18

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.6429 
Balanced Accuracy  0.7214 
              PPV  0.7368 
              NPV  0.7200 
               F1  0.7671 
         Accuracy  0.7302 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:17:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:05 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:06 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.66; User: 8.27; System: 0.33) 
[2020-06-29 05:17:07 FUN] Running grid line #39 of 40... 
[2020-06-29 05:17:07 s.ADDTREE] Hello,  

[2020-06-29 05:17:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  22  15
                0  13  13

                   Overall  
      Sensitivity  0.6286 
      Specificity  0.4643 
Balanced Accuracy  0.5464 
              PPV  0.5946 
              NPV  0.5000 
               F1  0.6111 
         Accuracy  0.5556 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:17:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:13 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.11; User: 8.97; System: 0.42) 
[2020-06-29 05:17:13 FUN] Running grid line #40 of 40... 
[2020-06-29 05:17:13 s.ADDTREE] Hello,  

[2020-06-29 05:17:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27  14
                0   8  14

                   Overall  
      Sensitivity  0.7714 
      Specificity  0.5000 
Balanced Accuracy  0.6357 
              PPV  0.6585 
              NPV  0.6364 
               F1  0.7105 
         Accuracy  0.6508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:17:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:20 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.71; User: 9.68; System: 0.41) 
[2020-06-29 05:17:29 FUN] Running grid line #1 of 40... 
[2020-06-29 05:17:29 s.ADDTREE] Hello,  

[2020-06-29 05:17:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:17:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   6
                0   3  21

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.7778 
Balanced Accuracy  0.8460 
              PPV  0.8421 
              NPV  0.8750 
               F1  0.8767 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:17:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:37 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:39 s.ADDTREE] Run completed in 0.17 minutes (Real: 10; User: 15.41; System: 0.72) 
[2020-06-29 05:17:39 FUN] Running grid line #2 of 40... 
[2020-06-29 05:17:39 s.ADDTREE] Hello,  

[2020-06-29 05:17:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   6  26

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9286 
Balanced Accuracy  0.8786 
              PPV  0.9355 
              NPV  0.8125 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:17:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:47 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:48 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.16; User: 14.56; System: 0.67) 
[2020-06-29 05:17:48 FUN] Running grid line #3 of 40... 
[2020-06-29 05:17:48 s.ADDTREE] Hello,  

[2020-06-29 05:17:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   6  26

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9286 
Balanced Accuracy  0.8786 
              PPV  0.9355 
              NPV  0.8125 
               F1  0.8788 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:17:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:17:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:17:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:17:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:17:59 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.56; User: 16.99; System: 0.86) 
[2020-06-29 05:17:59 FUN] Running grid line #4 of 40... 
[2020-06-29 05:17:59 s.ADDTREE] Hello,  

[2020-06-29 05:17:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:17:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   3
                0   3  25

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8929 
Balanced Accuracy  0.9036 
              PPV  0.9143 
              NPV  0.8929 
               F1  0.9143 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:18:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:18:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:18:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:18:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:18:15 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.59; User: 28.78; System: 0.67) 
[2020-06-29 05:18:15 FUN] Running grid line #5 of 40... 
[2020-06-29 05:18:15 s.ADDTREE] Hello,  

[2020-06-29 05:18:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:18:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   2
                0   7  26

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9286 
Balanced Accuracy  0.8643 
              PPV  0.9333 
              NPV  0.7879 
               F1  0.8615 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:18:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:18:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:18:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:18:26 s.ADDTREE] Pruning tree... 

[2020-06-29 05:18:29 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.47; User: 22.58; System: 0.63) 
[2020-06-29 05:18:29 FUN] Running grid line #6 of 40... 
[2020-06-29 05:18:29 s.ADDTREE] Hello,  

[2020-06-29 05:18:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:18:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   7  26

                   Overall  
      Sensitivity  0.8056 
      Specificity  0.9286 
Balanced Accuracy  0.8671 
              PPV  0.9355 
              NPV  0.7879 
               F1  0.8657 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:18:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:18:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:18:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:18:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:18:40 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.55; User: 17.14; System: 0.48) 
[2020-06-29 05:18:40 FUN] Running grid line #7 of 40... 
[2020-06-29 05:18:40 s.ADDTREE] Hello,  

[2020-06-29 05:18:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:18:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   6  27

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9643 
Balanced Accuracy  0.8964 
              PPV  0.9667 
              NPV  0.8182 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:18:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:18:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:18:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:18:49 s.ADDTREE] Pruning tree... 

[2020-06-29 05:18:51 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.95; User: 18.22; System: 0.62) 
[2020-06-29 05:18:51 FUN] Running grid line #8 of 40... 
[2020-06-29 05:18:51 s.ADDTREE] Hello,  

[2020-06-29 05:18:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:18:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   6  27

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9643 
Balanced Accuracy  0.8964 
              PPV  0.9667 
              NPV  0.8182 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:18:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:18:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:18:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:19:00 s.ADDTREE] Pruning tree... 

[2020-06-29 05:19:02 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.67; User: 19.38; System: 0.56) 
[2020-06-29 05:19:03 FUN] Running grid line #9 of 40... 
[2020-06-29 05:19:03 s.ADDTREE] Hello,  

[2020-06-29 05:19:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:19:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  26

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9286 
Balanced Accuracy  0.8929 
              PPV  0.9375 
              NPV  0.8387 
               F1  0.8955 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:19:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:19:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:19:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:19:10 s.ADDTREE] Pruning tree... 

[2020-06-29 05:19:11 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.57; User: 13.45; System: 0.59) 
[2020-06-29 05:19:11 FUN] Running grid line #10 of 40... 
[2020-06-29 05:19:11 s.ADDTREE] Hello,  

[2020-06-29 05:19:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:19:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:19:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:19:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:19:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:19:21 s.ADDTREE] Pruning tree... 

[2020-06-29 05:19:23 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.83; User: 19.39; System: 0.59) 
[2020-06-29 05:19:23 FUN] Running grid line #11 of 40... 
[2020-06-29 05:19:23 s.ADDTREE] Hello,  

[2020-06-29 05:19:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:19:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9630 
Balanced Accuracy  0.9386 
              PPV  0.9697 
              NPV  0.8966 
               F1  0.9412 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:19:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:19:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:19:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:19:34 s.ADDTREE] Pruning tree... 

[2020-06-29 05:19:37 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.68; User: 22.95; System: 0.85) 
[2020-06-29 05:19:37 FUN] Running grid line #12 of 40... 
[2020-06-29 05:19:37 s.ADDTREE] Hello,  

[2020-06-29 05:19:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:19:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:19:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:19:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:19:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:19:48 s.ADDTREE] Pruning tree... 

[2020-06-29 05:19:51 s.ADDTREE] Run completed in 0.23 minutes (Real: 14.05; User: 23.58; System: 0.66) 
[2020-06-29 05:19:51 FUN] Running grid line #13 of 40... 
[2020-06-29 05:19:51 s.ADDTREE] Hello,  

[2020-06-29 05:19:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:19:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:19:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:19:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:19:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:20:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:20:05 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.13; User: 23.02; System: 0.74) 
[2020-06-29 05:20:05 FUN] Running grid line #14 of 40... 
[2020-06-29 05:20:05 s.ADDTREE] Hello,  

[2020-06-29 05:20:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:20:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:20:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:20:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:20:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:20:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:20:22 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.15; User: 27.25; System: 0.82) 
[2020-06-29 05:20:22 FUN] Running grid line #15 of 40... 
[2020-06-29 05:20:22 s.ADDTREE] Hello,  

[2020-06-29 05:20:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:20:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   3  27

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9643 
Balanced Accuracy  0.9393 
              PPV  0.9697 
              NPV  0.9000 
               F1  0.9412 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:20:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:20:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:20:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:20:35 s.ADDTREE] Pruning tree... 

[2020-06-29 05:20:38 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.22; User: 27.46; System: 0.84) 
[2020-06-29 05:20:38 FUN] Running grid line #16 of 40... 
[2020-06-29 05:20:38 s.ADDTREE] Hello,  

[2020-06-29 05:20:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:20:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   1  25

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.8929 
Balanced Accuracy  0.9325 
              PPV  0.9211 
              NPV  0.9615 
               F1  0.9459 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:20:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:20:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:20:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:20:48 s.ADDTREE] Pruning tree... 

[2020-06-29 05:20:51 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.54; User: 20.64; System: 0.78) 
[2020-06-29 05:20:51 FUN] Running grid line #17 of 40... 
[2020-06-29 05:20:51 s.ADDTREE] Hello,  

[2020-06-29 05:20:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:20:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:20:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:20:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:20:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:21:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:21:07 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.82; User: 27.16; System: 0.75) 
[2020-06-29 05:21:07 FUN] Running grid line #18 of 40... 
[2020-06-29 05:21:07 s.ADDTREE] Hello,  

[2020-06-29 05:21:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:21:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   6  27

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9643 
Balanced Accuracy  0.8964 
              PPV  0.9667 
              NPV  0.8182 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:21:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:21:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:21:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:21:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:21:21 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.56; User: 24.30; System: 0.75) 
[2020-06-29 05:21:21 FUN] Running grid line #19 of 40... 
[2020-06-29 05:21:21 s.ADDTREE] Hello,  

[2020-06-29 05:21:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:21:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9286 
Balanced Accuracy  0.9071 
              PPV  0.9394 
              NPV  0.8667 
               F1  0.9118 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:21:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:21:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:21:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:21:32 s.ADDTREE] Pruning tree... 

[2020-06-29 05:21:35 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.46; User: 22.18; System: 0.77) 
[2020-06-29 05:21:35 FUN] Running grid line #20 of 40... 
[2020-06-29 05:21:35 s.ADDTREE] Hello,  

[2020-06-29 05:21:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:21:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:21:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:21:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:21:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:21:45 s.ADDTREE] Pruning tree... 

[2020-06-29 05:21:48 s.ADDTREE] Run completed in 0.22 minutes (Real: 12.99; User: 21.36; System: 0.90) 
[2020-06-29 05:21:48 FUN] Running grid line #21 of 40... 
[2020-06-29 05:21:48 s.ADDTREE] Hello,  

[2020-06-29 05:21:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:21:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:21:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:21:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:21:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:21:56 s.ADDTREE] Pruning tree... 

[2020-06-29 05:21:57 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.28; User: 14.52; System: 0.64) 
[2020-06-29 05:21:57 FUN] Running grid line #22 of 40... 
[2020-06-29 05:21:58 s.ADDTREE] Hello,  

[2020-06-29 05:21:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:21:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:22:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:22:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:22:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:22:06 s.ADDTREE] Pruning tree... 

[2020-06-29 05:22:08 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.07; User: 16.17; System: 0.58) 
[2020-06-29 05:22:08 FUN] Running grid line #23 of 40... 
[2020-06-29 05:22:08 s.ADDTREE] Hello,  

[2020-06-29 05:22:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:22:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:22:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:22:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:22:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:22:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:22:18 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.38; User: 16.83; System: 0.63) 
[2020-06-29 05:22:18 FUN] Running grid line #24 of 40... 
[2020-06-29 05:22:18 s.ADDTREE] Hello,  

[2020-06-29 05:22:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:22:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:22:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:22:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:22:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:22:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:22:26 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.75; User: 11.84; System: 0.58) 
[2020-06-29 05:22:26 FUN] Running grid line #25 of 40... 
[2020-06-29 05:22:26 s.ADDTREE] Hello,  

[2020-06-29 05:22:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:22:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:22:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:22:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:22:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:22:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:22:42 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.05; User: 26.92; System: 0.92) 
[2020-06-29 05:22:42 FUN] Running grid line #26 of 40... 
[2020-06-29 05:22:42 s.ADDTREE] Hello,  

[2020-06-29 05:22:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:22:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   1  26

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.9286 
Balanced Accuracy  0.9504 
              PPV  0.9459 
              NPV  0.9630 
               F1  0.9589 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:22:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:22:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:22:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:22:51 s.ADDTREE] Pruning tree... 

[2020-06-29 05:22:54 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.64; User: 18.70; System: 0.75) 
[2020-06-29 05:22:54 FUN] Running grid line #27 of 40... 
[2020-06-29 05:22:54 s.ADDTREE] Hello,  

[2020-06-29 05:22:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:22:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:23:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:08 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.81; User: 22.47; System: 0.84) 
[2020-06-29 05:23:08 FUN] Running grid line #28 of 40... 
[2020-06-29 05:23:08 s.ADDTREE] Hello,  

[2020-06-29 05:23:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:23:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:23:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:21 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:24 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.05; User: 27.20; System: 0.65) 
[2020-06-29 05:23:24 FUN] Running grid line #29 of 40... 
[2020-06-29 05:23:24 s.ADDTREE] Hello,  

[2020-06-29 05:23:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:23:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:23:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:33 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:35 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.73; User: 17.28; System: 0.66) 
[2020-06-29 05:23:35 FUN] Running grid line #30 of 40... 
[2020-06-29 05:23:35 s.ADDTREE] Hello,  

[2020-06-29 05:23:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:23:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:23:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:46 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.46; User: 18.50; System: 0.67) 
[2020-06-29 05:23:47 FUN] Running grid line #31 of 40... 
[2020-06-29 05:23:47 s.ADDTREE] Hello,  

[2020-06-29 05:23:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:23:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23  12
                0  12  15

                   Overall  
      Sensitivity  0.6571 
      Specificity  0.5556 
Balanced Accuracy  0.6063 
              PPV  0.6571 
              NPV  0.5556 
               F1  0.6571 
         Accuracy  0.6129 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.2500 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.6000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:23:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:51 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:52 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.25; User: 7.41; System: 0.37) 
[2020-06-29 05:23:52 FUN] Running grid line #32 of 40... 
[2020-06-29 05:23:52 s.ADDTREE] Hello,  

[2020-06-29 05:23:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:23:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   7
                0  15  21

                   Overall  
      Sensitivity  0.5714 
      Specificity  0.7500 
Balanced Accuracy  0.6607 
              PPV  0.7407 
              NPV  0.5833 
               F1  0.6452 
         Accuracy  0.6508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:23:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:23:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:23:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:23:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:23:58 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.27; User: 9.34; System: 0.36) 
[2020-06-29 05:23:58 FUN] Running grid line #33 of 40... 
[2020-06-29 05:23:58 s.ADDTREE] Hello,  

[2020-06-29 05:23:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:23:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  16
                0  15  12

                   Overall  
      Sensitivity  0.5714 
      Specificity  0.4286 
Balanced Accuracy  0.5000 
              PPV  0.5556 
              NPV  0.4444 
               F1  0.5634 
         Accuracy  0.5079 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:24:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:05 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.37; User: 9.10; System: 0.41) 
[2020-06-29 05:24:05 FUN] Running grid line #34 of 40... 
[2020-06-29 05:24:05 s.ADDTREE] Hello,  

[2020-06-29 05:24:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   5
                0  27  23

                   Overall  
      Sensitivity  0.2286 
      Specificity  0.8214 
Balanced Accuracy  0.5250 
              PPV  0.6154 
              NPV  0.4600 
               F1  0.3333 
         Accuracy  0.4921 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:24:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:10 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:10 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.22; User: 6.06; System: 0.36) 
[2020-06-29 05:24:10 FUN] Running grid line #35 of 40... 
[2020-06-29 05:24:10 s.ADDTREE] Hello,  

[2020-06-29 05:24:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20  12
                0  15  16

                   Overall  
      Sensitivity  0.5714 
      Specificity  0.5714 
Balanced Accuracy  0.5714 
              PPV  0.6250 
              NPV  0.5161 
               F1  0.5970 
         Accuracy  0.5714 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:24:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:20 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.81; User: 15.16; System: 0.55) 
[2020-06-29 05:24:20 FUN] Running grid line #36 of 40... 
[2020-06-29 05:24:20 s.ADDTREE] Hello,  

[2020-06-29 05:24:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:24:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  20
                0  20   8

                   Overall  
      Sensitivity  0.4444 
      Specificity  0.2857 
Balanced Accuracy  0.3651 
              PPV  0.4444 
              NPV  0.2857 
               F1  0.4444 
         Accuracy  0.3750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:24:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:27 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:29 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.45; User: 13.21; System: 0.58) 
[2020-06-29 05:24:29 FUN] Running grid line #37 of 40... 
[2020-06-29 05:24:29 s.ADDTREE] Hello,  

[2020-06-29 05:24:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  17
                0  24  11

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.3929 
Balanced Accuracy  0.3536 
              PPV  0.3929 
              NPV  0.3143 
               F1  0.3492 
         Accuracy  0.3492 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:24:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:35 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:37 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.54; User: 13.24; System: 0.53) 
[2020-06-29 05:24:37 FUN] Running grid line #38 of 40... 
[2020-06-29 05:24:37 s.ADDTREE] Hello,  

[2020-06-29 05:24:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  24  12
                0  11  16

                   Overall  
      Sensitivity  0.6857 
      Specificity  0.5714 
Balanced Accuracy  0.6286 
              PPV  0.6667 
              NPV  0.5926 
               F1  0.6761 
         Accuracy  0.6349 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:24:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:46 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.50; User: 13.36; System: 0.56) 
[2020-06-29 05:24:46 FUN] Running grid line #39 of 40... 
[2020-06-29 05:24:46 s.ADDTREE] Hello,  

[2020-06-29 05:24:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  20
                0  23   8

                   Overall  
      Sensitivity  0.3429 
      Specificity  0.2857 
Balanced Accuracy  0.3143 
              PPV  0.3750 
              NPV  0.2581 
               F1  0.3582 
         Accuracy  0.3175 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  4  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 05:24:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:24:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:24:55 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.84; User: 13.72; System: 0.59) 
[2020-06-29 05:24:55 FUN] Running grid line #40 of 40... 
[2020-06-29 05:24:55 s.ADDTREE] Hello,  

[2020-06-29 05:24:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:24:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   2
                0  30  26

                   Overall  
      Sensitivity  0.1429 
      Specificity  0.9286 
Balanced Accuracy  0.5357 
              PPV  0.7143 
              NPV  0.4643 
               F1  0.2381 
         Accuracy  0.4921 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:24:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:24:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:24:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:25:00 s.ADDTREE] Pruning tree... 

[2020-06-29 05:25:01 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.61; User: 7.84; System: 0.44) 
[2020-06-29 05:25:11 FUN] Running grid line #1 of 40... 
[2020-06-29 05:25:11 s.ADDTREE] Hello,  

[2020-06-29 05:25:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:25:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   6
                0   5  21

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.7778 
Balanced Accuracy  0.8175 
              PPV  0.8333 
              NPV  0.8077 
               F1  0.8451 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:25:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:25:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:25:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:25:19 s.ADDTREE] Pruning tree... 

[2020-06-29 05:25:20 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.84; User: 13.79; System: 0.46) 
[2020-06-29 05:25:20 FUN] Running grid line #2 of 40... 
[2020-06-29 05:25:20 s.ADDTREE] Hello,  

[2020-06-29 05:25:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:25:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   4  25

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9259 
Balanced Accuracy  0.9058 
              PPV  0.9394 
              NPV  0.8621 
               F1  0.9118 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:25:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:25:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:25:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:25:32 s.ADDTREE] Pruning tree... 

[2020-06-29 05:25:34 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.78; User: 22.67; System: 0.80) 
[2020-06-29 05:25:34 FUN] Running grid line #3 of 40... 
[2020-06-29 05:25:34 s.ADDTREE] Hello,  

[2020-06-29 05:25:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:25:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  25

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9259 
Balanced Accuracy  0.9201 
              PPV  0.9412 
              NPV  0.8929 
               F1  0.9275 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:25:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:25:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:25:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:25:42 s.ADDTREE] Pruning tree... 

[2020-06-29 05:25:43 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.03; User: 14.20; System: 0.63) 
[2020-06-29 05:25:43 FUN] Running grid line #4 of 40... 
[2020-06-29 05:25:43 s.ADDTREE] Hello,  

[2020-06-29 05:25:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:25:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   6
                0   3  21

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.7778 
Balanced Accuracy  0.8460 
              PPV  0.8421 
              NPV  0.8750 
               F1  0.8767 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:25:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:25:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:25:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:25:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:25:57 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.72; User: 22.36; System: 0.93) 
[2020-06-29 05:25:57 FUN] Running grid line #5 of 40... 
[2020-06-29 05:25:57 s.ADDTREE] Hello,  

[2020-06-29 05:25:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:25:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   4  24

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8889 
Balanced Accuracy  0.8873 
              PPV  0.9118 
              NPV  0.8571 
               F1  0.8986 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:26:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:26:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:26:08 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.30; User: 17.93; System: 0.70) 
[2020-06-29 05:26:09 FUN] Running grid line #6 of 40... 
[2020-06-29 05:26:09 s.ADDTREE] Hello,  

[2020-06-29 05:26:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:26:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   5
                0   2  22

                   Overall  
      Sensitivity  0.9444 
      Specificity  0.8148 
Balanced Accuracy  0.8796 
              PPV  0.8718 
              NPV  0.9167 
               F1  0.9067 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:26:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:26:19 s.ADDTREE] Pruning tree... 

[2020-06-29 05:26:21 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.86; User: 19.26; System: 0.69) 
[2020-06-29 05:26:21 FUN] Running grid line #7 of 40... 
[2020-06-29 05:26:21 s.ADDTREE] Hello,  

[2020-06-29 05:26:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:26:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   5  23

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8519 
Balanced Accuracy  0.8545 
              PPV  0.8824 
              NPV  0.8214 
               F1  0.8696 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:26:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:26:30 s.ADDTREE] Pruning tree... 

[2020-06-29 05:26:32 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.95; User: 17.74; System: 0.63) 
[2020-06-29 05:26:32 FUN] Running grid line #8 of 40... 
[2020-06-29 05:26:32 s.ADDTREE] Hello,  

[2020-06-29 05:26:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:26:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   7  24

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.8889 
Balanced Accuracy  0.8444 
              PPV  0.9032 
              NPV  0.7742 
               F1  0.8485 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:26:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:26:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:26:42 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.98; User: 15.82; System: 0.67) 
[2020-06-29 05:26:42 FUN] Running grid line #9 of 40... 
[2020-06-29 05:26:42 s.ADDTREE] Hello,  

[2020-06-29 05:26:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:26:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   5  27

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.8438 
               F1  0.9231 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:26:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:26:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:26:52 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.06; User: 16.15; System: 0.58) 
[2020-06-29 05:26:52 FUN] Running grid line #10 of 40... 
[2020-06-29 05:26:52 s.ADDTREE] Hello,  

[2020-06-29 05:26:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:26:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   5  24

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8889 
Balanced Accuracy  0.8730 
              PPV  0.9091 
              NPV  0.8276 
               F1  0.8824 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:26:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:26:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:26:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:27:02 s.ADDTREE] Pruning tree... 

[2020-06-29 05:27:04 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.70; User: 19.06; System: 0.60) 
[2020-06-29 05:27:04 FUN] Running grid line #11 of 40... 
[2020-06-29 05:27:04 s.ADDTREE] Hello,  

[2020-06-29 05:27:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:27:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  24

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8889 
Balanced Accuracy  0.9302 
              PPV  0.9189 
              NPV  0.9600 
               F1  0.9444 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:27:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:27:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:27:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:27:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:27:21 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.55; User: 30.03; System: 0.97) 
[2020-06-29 05:27:21 FUN] Running grid line #12 of 40... 
[2020-06-29 05:27:21 s.ADDTREE] Hello,  

[2020-06-29 05:27:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:27:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  24

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8889 
Balanced Accuracy  0.9302 
              PPV  0.9189 
              NPV  0.9600 
               F1  0.9444 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:27:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:27:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:27:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:27:33 s.ADDTREE] Pruning tree... 

[2020-06-29 05:27:37 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.04; User: 25.10; System: 0.81) 
[2020-06-29 05:27:37 FUN] Running grid line #13 of 40... 
[2020-06-29 05:27:37 s.ADDTREE] Hello,  

[2020-06-29 05:27:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:27:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:27:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:27:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:27:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:27:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:27:53 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.49; User: 28.24; System: 0.78) 
[2020-06-29 05:27:53 FUN] Running grid line #14 of 40... 
[2020-06-29 05:27:53 s.ADDTREE] Hello,  

[2020-06-29 05:27:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:27:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  25

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9259 
Balanced Accuracy  0.9344 
              PPV  0.9429 
              NPV  0.9259 
               F1  0.9429 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:28:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:28:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:28:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:28:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:28:10 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.92; User: 28.62; System: 0.70) 
[2020-06-29 05:28:10 FUN] Running grid line #15 of 40... 
[2020-06-29 05:28:10 s.ADDTREE] Hello,  

[2020-06-29 05:28:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:28:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  25

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9259 
Balanced Accuracy  0.9201 
              PPV  0.9412 
              NPV  0.8929 
               F1  0.9275 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:28:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:28:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:28:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:28:21 s.ADDTREE] Pruning tree... 

[2020-06-29 05:28:23 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.12; User: 21.73; System: 0.74) 
[2020-06-29 05:28:24 FUN] Running grid line #16 of 40... 
[2020-06-29 05:28:24 s.ADDTREE] Hello,  

[2020-06-29 05:28:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:28:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  36   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9474 
              NPV  1.0000 
               F1  0.9730 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:28:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:28:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:28:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:28:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:28:42 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.39; User: 31.42; System: 0.86) 
[2020-06-29 05:28:42 FUN] Running grid line #17 of 40... 
[2020-06-29 05:28:42 s.ADDTREE] Hello,  

[2020-06-29 05:28:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:28:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   3
                0   3  24

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8889 
Balanced Accuracy  0.9016 
              PPV  0.9143 
              NPV  0.8889 
               F1  0.9143 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:28:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:28:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:28:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:28:49 s.ADDTREE] Pruning tree... 

[2020-06-29 05:28:51 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.54; User: 13.36; System: 0.55) 
[2020-06-29 05:28:51 FUN] Running grid line #18 of 40... 
[2020-06-29 05:28:51 s.ADDTREE] Hello,  

[2020-06-29 05:28:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:28:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  24

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8889 
Balanced Accuracy  0.9302 
              PPV  0.9189 
              NPV  0.9600 
               F1  0.9444 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:28:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:28:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:28:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:01 s.ADDTREE] Pruning tree... 

[2020-06-29 05:29:03 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.32; User: 20.27; System: 0.86) 
[2020-06-29 05:29:03 FUN] Running grid line #19 of 40... 
[2020-06-29 05:29:03 s.ADDTREE] Hello,  

[2020-06-29 05:29:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:29:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   4  27

                   Overall  
      Sensitivity  0.8857 
      Specificity  1.0000 
Balanced Accuracy  0.9429 
              PPV  1.0000 
              NPV  0.8710 
               F1  0.9394 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:29:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:29:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:29:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:14 s.ADDTREE] Pruning tree... 

[2020-06-29 05:29:17 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.49; User: 22.43; System: 0.62) 
[2020-06-29 05:29:17 FUN] Running grid line #20 of 40... 
[2020-06-29 05:29:17 s.ADDTREE] Hello,  

[2020-06-29 05:29:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:29:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  24

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8889 
Balanced Accuracy  0.9302 
              PPV  0.9189 
              NPV  0.9600 
               F1  0.9444 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:29:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:29:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:29:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:29:34 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.36; User: 29.20; System: 1.04) 
[2020-06-29 05:29:34 FUN] Running grid line #21 of 40... 
[2020-06-29 05:29:34 s.ADDTREE] Hello,  

[2020-06-29 05:29:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:29:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   3
                0   7  24

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.8889 
Balanced Accuracy  0.8444 
              PPV  0.9032 
              NPV  0.7742 
               F1  0.8485 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:29:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:29:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:29:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:29:39 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.86; User: 6.77; System: 0.32) 
[2020-06-29 05:29:39 FUN] Running grid line #22 of 40... 
[2020-06-29 05:29:39 s.ADDTREE] Hello,  

[2020-06-29 05:29:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:29:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8889 
Balanced Accuracy  0.9444 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:29:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:29:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:29:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:48 s.ADDTREE] Pruning tree... 

[2020-06-29 05:29:50 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.20; User: 16.41; System: 0.63) 
[2020-06-29 05:29:50 FUN] Running grid line #23 of 40... 
[2020-06-29 05:29:50 s.ADDTREE] Hello,  

[2020-06-29 05:29:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:29:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:29:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:29:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:29:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:29:58 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:01 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.03; User: 17.94; System: 0.64) 
[2020-06-29 05:30:01 FUN] Running grid line #24 of 40... 
[2020-06-29 05:30:01 s.ADDTREE] Hello,  

[2020-06-29 05:30:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   6
                0   1  21

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.7778 
Balanced Accuracy  0.8746 
              PPV  0.8500 
              NPV  0.9545 
               F1  0.9067 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:30:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:09 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:11 s.ADDTREE] Run completed in 0.17 minutes (Real: 10; User: 16.40; System: 0.67) 
[2020-06-29 05:30:11 FUN] Running grid line #25 of 40... 
[2020-06-29 05:30:11 s.ADDTREE] Hello,  

[2020-06-29 05:30:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:30:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:19 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:21 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.68; User: 15.64; System: 0.54) 
[2020-06-29 05:30:21 FUN] Running grid line #26 of 40... 
[2020-06-29 05:30:21 s.ADDTREE] Hello,  

[2020-06-29 05:30:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:30:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   1  24

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.8889 
Balanced Accuracy  0.9306 
              PPV  0.9211 
              NPV  0.9600 
               F1  0.9459 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:30:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:27 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:28 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.26; User: 11.04; System: 0.48) 
[2020-06-29 05:30:28 FUN] Running grid line #27 of 40... 
[2020-06-29 05:30:28 s.ADDTREE] Hello,  

[2020-06-29 05:30:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   2  24

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.8889 
Balanced Accuracy  0.9159 
              PPV  0.9167 
              NPV  0.9231 
               F1  0.9296 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:30:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:35 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:37 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.45; User: 13.06; System: 0.49) 
[2020-06-29 05:30:37 FUN] Running grid line #28 of 40... 
[2020-06-29 05:30:37 s.ADDTREE] Hello,  

[2020-06-29 05:30:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8889 
Balanced Accuracy  0.9444 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:30:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:45 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:46 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.83; User: 15.53; System: 0.58) 
[2020-06-29 05:30:47 FUN] Running grid line #29 of 40... 
[2020-06-29 05:30:47 s.ADDTREE] Hello,  

[2020-06-29 05:30:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  1.0000 
Balanced Accuracy  0.9857 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9855 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:30:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:30:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:30:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:30:56 s.ADDTREE] Pruning tree... 

[2020-06-29 05:30:58 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.50; User: 18.89; System: 0.65) 
[2020-06-29 05:30:58 FUN] Running grid line #30 of 40... 
[2020-06-29 05:30:58 s.ADDTREE] Hello,  

[2020-06-29 05:30:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:30:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  24

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8889 
Balanced Accuracy  0.9302 
              PPV  0.9189 
              NPV  0.9600 
               F1  0.9444 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:31:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:31:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:31:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:31:06 s.ADDTREE] Pruning tree... 

[2020-06-29 05:31:08 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.97; User: 16.11; System: 0.44) 
[2020-06-29 05:31:08 FUN] Running grid line #31 of 40... 
[2020-06-29 05:31:08 s.ADDTREE] Hello,  

[2020-06-29 05:31:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:31:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  18
                0  20   9

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.3333 
Balanced Accuracy  0.3810 
              PPV  0.4545 
              NPV  0.3103 
               F1  0.4412 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:31:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:31:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:31:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:31:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:31:13 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.21; User: 5.28; System: 0.36) 
[2020-06-29 05:31:13 FUN] Running grid line #32 of 40... 
[2020-06-29 05:31:13 s.ADDTREE] Hello,  

[2020-06-29 05:31:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:31:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7  14
                0  28  13

                   Overall  
      Sensitivity  0.2000 
      Specificity  0.4815 
Balanced Accuracy  0.3407 
              PPV  0.3333 
              NPV  0.3171 
               F1  0.2500 
         Accuracy  0.3226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  0

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.0000 
Balanced Accuracy  0.1250 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:31:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:31:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:31:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:31:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:31:19 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.07; User: 8.53; System: 0.50) 
[2020-06-29 05:31:19 FUN] Running grid line #33 of 40... 
[2020-06-29 05:31:19 s.ADDTREE] Hello,  

[2020-06-29 05:31:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:31:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0  24  19

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.7037 
Balanced Accuracy  0.5090 
              PPV  0.5789 
              NPV  0.4419 
               F1  0.4074 
         Accuracy  0.4839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:31:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:31:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:31:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:01 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:11 s.ADDTREE] Run completed in 0.88 minutes (Real: 52.51; User: 96.59; System: 2.98) 
[2020-06-29 05:32:11 FUN] Running grid line #34 of 40... 
[2020-06-29 05:32:11 s.ADDTREE] Hello,  

[2020-06-29 05:32:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5  13
                0  30  14

                   Overall  
      Sensitivity  0.1429 
      Specificity  0.5185 
Balanced Accuracy  0.3307 
              PPV  0.2778 
              NPV  0.3182 
               F1  0.1887 
         Accuracy  0.3065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:32:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:16 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.55; User: 6.03; System: 0.36) 
[2020-06-29 05:32:16 FUN] Running grid line #35 of 40... 
[2020-06-29 05:32:16 s.ADDTREE] Hello,  

[2020-06-29 05:32:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  22
                0  21   5

                   Overall  
      Sensitivity  0.4000 
      Specificity  0.1852 
Balanced Accuracy  0.2926 
              PPV  0.3889 
              NPV  0.1923 
               F1  0.3944 
         Accuracy  0.3065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  0

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.0000 
Balanced Accuracy  0.1250 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:32:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:24 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 9.56; System: 0.36) 
[2020-06-29 05:32:24 FUN] Running grid line #36 of 40... 
[2020-06-29 05:32:24 s.ADDTREE] Hello,  

[2020-06-29 05:32:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:32:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  15
                0  19  12

                   Overall  
      Sensitivity  0.4722 
      Specificity  0.4444 
Balanced Accuracy  0.4583 
              PPV  0.5312 
              NPV  0.3871 
               F1  0.5000 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:32:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:30 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:32 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.94; User: 11.83; System: 0.38) 
[2020-06-29 05:32:32 FUN] Running grid line #37 of 40... 
[2020-06-29 05:32:32 s.ADDTREE] Hello,  

[2020-06-29 05:32:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   9
                0  25  18

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.6667 
Balanced Accuracy  0.4762 
              PPV  0.5263 
              NPV  0.4186 
               F1  0.3704 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:32:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:37 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:37 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.56; User: 8; System: 0.44) 
[2020-06-29 05:32:37 FUN] Running grid line #38 of 40... 
[2020-06-29 05:32:38 s.ADDTREE] Hello,  

[2020-06-29 05:32:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4  12
                0  31  15

                   Overall  
      Sensitivity  0.1143 
      Specificity  0.5556 
Balanced Accuracy  0.3349 
              PPV  0.2500 
              NPV  0.3261 
               F1  0.1569 
         Accuracy  0.3065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:32:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:43 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:44 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.51; User: 10; System: 0.42) 
[2020-06-29 05:32:44 FUN] Running grid line #39 of 40... 
[2020-06-29 05:32:44 s.ADDTREE] Hello,  

[2020-06-29 05:32:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   7
                0  25  20

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.7407 
Balanced Accuracy  0.5132 
              PPV  0.5882 
              NPV  0.4444 
               F1  0.3846 
         Accuracy  0.4839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:32:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:49 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:49 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.22; User: 7.42; System: 0.42) 
[2020-06-29 05:32:49 FUN] Running grid line #40 of 40... 
[2020-06-29 05:32:49 s.ADDTREE] Hello,  

[2020-06-29 05:32:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:32:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  12
                0  26  15

                   Overall  
      Sensitivity  0.2571 
      Specificity  0.5556 
Balanced Accuracy  0.4063 
              PPV  0.4286 
              NPV  0.3659 
               F1  0.3214 
         Accuracy  0.3871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:32:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:32:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:32:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:32:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:32:56 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.58; User: 9.84; System: 0.47) 
[2020-06-29 05:33:02 FUN] Running grid line #1 of 40... 
[2020-06-29 05:33:03 s.ADDTREE] Hello,  

[2020-06-29 05:33:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:33:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   1  24

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.8889 
Balanced Accuracy  0.9297 
              PPV  0.9167 
              NPV  0.9600 
               F1  0.9429 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 05:33:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:33:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:33:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:33:13 s.ADDTREE] Pruning tree... 

[2020-06-29 05:33:15 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.10; User: 20.23; System: 0.50) 
[2020-06-29 05:33:15 FUN] Running grid line #2 of 40... 
[2020-06-29 05:33:15 s.ADDTREE] Hello,  

[2020-06-29 05:33:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:33:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9286 
Balanced Accuracy  0.9349 
              PPV  0.9412 
              NPV  0.9286 
               F1  0.9412 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:33:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:33:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:33:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:33:23 s.ADDTREE] Pruning tree... 

[2020-06-29 05:33:25 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.11; User: 16.08; System: 0.72) 
[2020-06-29 05:33:25 FUN] Running grid line #3 of 40... 
[2020-06-29 05:33:25 s.ADDTREE] Hello,  

[2020-06-29 05:33:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:33:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   3  26

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.9286 
Balanced Accuracy  0.9202 
              PPV  0.9394 
              NPV  0.8966 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:33:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:33:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:33:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:33:34 s.ADDTREE] Pruning tree... 

[2020-06-29 05:33:36 s.ADDTREE] Run completed in 0.18 minutes (Real: 11; User: 18; System: 0.75) 
[2020-06-29 05:33:36 FUN] Running grid line #4 of 40... 
[2020-06-29 05:33:36 s.ADDTREE] Hello,  

[2020-06-29 05:33:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:33:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   3
                0   3  25

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8929 
Balanced Accuracy  0.9036 
              PPV  0.9143 
              NPV  0.8929 
               F1  0.9143 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:33:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:33:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:33:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:33:45 s.ADDTREE] Pruning tree... 

[2020-06-29 05:33:47 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.55; User: 17.34; System: 0.58) 
[2020-06-29 05:33:47 FUN] Running grid line #5 of 40... 
[2020-06-29 05:33:47 s.ADDTREE] Hello,  

[2020-06-29 05:33:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:33:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9643 
Balanced Accuracy  0.9674 
              PPV  0.9706 
              NPV  0.9643 
               F1  0.9706 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:33:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:33:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:33:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:33:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:34:00 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.82; User: 21.54; System: 0.86) 
[2020-06-29 05:34:00 FUN] Running grid line #6 of 40... 
[2020-06-29 05:34:00 s.ADDTREE] Hello,  

[2020-06-29 05:34:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:34:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9286 
Balanced Accuracy  0.9055 
              PPV  0.9375 
              NPV  0.8667 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:34:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:34:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:34:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:34:11 s.ADDTREE] Pruning tree... 

[2020-06-29 05:34:13 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.62; User: 23.15; System: 0.77) 
[2020-06-29 05:34:13 FUN] Running grid line #7 of 40... 
[2020-06-29 05:34:14 s.ADDTREE] Hello,  

[2020-06-29 05:34:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:34:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   5
                0   1  23

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8214 
Balanced Accuracy  0.8964 
              PPV  0.8718 
              NPV  0.9583 
               F1  0.9189 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:34:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:34:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:34:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:34:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:34:26 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.53; User: 21.35; System: 0.51) 
[2020-06-29 05:34:26 FUN] Running grid line #8 of 40... 
[2020-06-29 05:34:26 s.ADDTREE] Hello,  

[2020-06-29 05:34:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:34:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   2
                0   3  26

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.9286 
Balanced Accuracy  0.9202 
              PPV  0.9394 
              NPV  0.8966 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:34:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:34:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:34:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:34:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:34:43 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.65; User: 27; System: 1) 
[2020-06-29 05:34:43 FUN] Running grid line #9 of 40... 
[2020-06-29 05:34:43 s.ADDTREE] Hello,  

[2020-06-29 05:34:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:34:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9286 
Balanced Accuracy  0.9055 
              PPV  0.9375 
              NPV  0.8667 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:34:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:34:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:34:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:34:52 s.ADDTREE] Pruning tree... 

[2020-06-29 05:34:53 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.11; User: 16.23; System: 0.64) 
[2020-06-29 05:34:53 FUN] Running grid line #10 of 40... 
[2020-06-29 05:34:53 s.ADDTREE] Hello,  

[2020-06-29 05:34:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:34:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   4
                0   1  24

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.8571 
Balanced Accuracy  0.9139 
              PPV  0.8919 
              NPV  0.9600 
               F1  0.9296 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:34:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:34:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:34:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:35:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:35:05 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.68; User: 18.92; System: 0.66) 
[2020-06-29 05:35:05 FUN] Running grid line #11 of 40... 
[2020-06-29 05:35:05 s.ADDTREE] Hello,  

[2020-06-29 05:35:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:35:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   1  25

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9259 
Balanced Accuracy  0.9483 
              PPV  0.9429 
              NPV  0.9615 
               F1  0.9565 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  4

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8571 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 05:35:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:35:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:35:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:35:17 s.ADDTREE] Pruning tree... 

[2020-06-29 05:35:20 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.28; User: 25.31; System: 0.73) 
[2020-06-29 05:35:20 FUN] Running grid line #12 of 40... 
[2020-06-29 05:35:20 s.ADDTREE] Hello,  

[2020-06-29 05:35:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:35:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9286 
Balanced Accuracy  0.9349 
              PPV  0.9412 
              NPV  0.9286 
               F1  0.9412 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:35:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:35:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:35:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:35:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:35:34 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.29; User: 21.16; System: 0.72) 
[2020-06-29 05:35:34 FUN] Running grid line #13 of 40... 
[2020-06-29 05:35:34 s.ADDTREE] Hello,  

[2020-06-29 05:35:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:35:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9444 
              NPV  1.0000 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:35:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:35:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:35:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:35:48 s.ADDTREE] Pruning tree... 

[2020-06-29 05:35:52 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.40; User: 31.34; System: 0.87) 
[2020-06-29 05:35:52 FUN] Running grid line #14 of 40... 
[2020-06-29 05:35:52 s.ADDTREE] Hello,  

[2020-06-29 05:35:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:35:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:36:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:36:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:36:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:36:06 s.ADDTREE] Pruning tree... 

[2020-06-29 05:36:09 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.75; User: 28.55; System: 0.95) 
[2020-06-29 05:36:09 FUN] Running grid line #15 of 40... 
[2020-06-29 05:36:09 s.ADDTREE] Hello,  

[2020-06-29 05:36:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:36:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9643 
Balanced Accuracy  0.9674 
              PPV  0.9706 
              NPV  0.9643 
               F1  0.9706 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:36:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:36:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:36:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:36:20 s.ADDTREE] Pruning tree... 

[2020-06-29 05:36:23 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.50; User: 22.51; System: 0.70) 
[2020-06-29 05:36:23 FUN] Running grid line #16 of 40... 
[2020-06-29 05:36:23 s.ADDTREE] Hello,  

[2020-06-29 05:36:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:36:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9286 
Balanced Accuracy  0.9055 
              PPV  0.9375 
              NPV  0.8667 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:36:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:36:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:36:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:36:35 s.ADDTREE] Pruning tree... 

[2020-06-29 05:36:38 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.26; User: 26.22; System: 0.79) 
[2020-06-29 05:36:38 FUN] Running grid line #17 of 40... 
[2020-06-29 05:36:38 s.ADDTREE] Hello,  

[2020-06-29 05:36:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:36:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 05:36:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:36:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:36:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:36:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:36:56 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.25; User: 29.48; System: 0.60) 
[2020-06-29 05:36:56 FUN] Running grid line #18 of 40... 
[2020-06-29 05:36:56 s.ADDTREE] Hello,  

[2020-06-29 05:36:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:36:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   1  26

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9286 
Balanced Accuracy  0.9496 
              PPV  0.9429 
              NPV  0.9630 
               F1  0.9565 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:37:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:37:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:37:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:37:08 s.ADDTREE] Pruning tree... 

[2020-06-29 05:37:11 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.38; User: 25.92; System: 0.74) 
[2020-06-29 05:37:11 FUN] Running grid line #19 of 40... 
[2020-06-29 05:37:11 s.ADDTREE] Hello,  

[2020-06-29 05:37:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:37:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9286 
Balanced Accuracy  0.9349 
              PPV  0.9412 
              NPV  0.9286 
               F1  0.9412 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:37:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:37:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:37:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:37:22 s.ADDTREE] Pruning tree... 

[2020-06-29 05:37:26 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.44; User: 21.45; System: 0.83) 
[2020-06-29 05:37:26 FUN] Running grid line #20 of 40... 
[2020-06-29 05:37:26 s.ADDTREE] Hello,  

[2020-06-29 05:37:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:37:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9643 
Balanced Accuracy  0.9674 
              PPV  0.9706 
              NPV  0.9643 
               F1  0.9706 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:37:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:37:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:37:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:37:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:37:49 s.ADDTREE] Run completed in 0.39 minutes (Real: 23.46; User: 30.83; System: 1.33) 
[2020-06-29 05:37:49 FUN] Running grid line #21 of 40... 
[2020-06-29 05:37:49 s.ADDTREE] Hello,  

[2020-06-29 05:37:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:37:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   2  25

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9259 
Balanced Accuracy  0.9336 
              PPV  0.9412 
              NPV  0.9259 
               F1  0.9412 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  4

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:38:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:38:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:38:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:40:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:40:20 s.ADDTREE] Run completed in 2.52 minutes (Real: 150.92; User: 275.83; System: 9.36) 
[2020-06-29 05:40:20 FUN] Running grid line #22 of 40... 
[2020-06-29 05:40:20 s.ADDTREE] Hello,  

[2020-06-29 05:40:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:40:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   2  28

                   Overall  
      Sensitivity  0.9412 
      Specificity  1.0000 
Balanced Accuracy  0.9706 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9697 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:40:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:40:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:40:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:40:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:40:29 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.38; User: 13.33; System: 0.35) 
[2020-06-29 05:40:29 FUN] Running grid line #23 of 40... 
[2020-06-29 05:40:29 s.ADDTREE] Hello,  

[2020-06-29 05:40:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:40:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   2  28

                   Overall  
      Sensitivity  0.9412 
      Specificity  1.0000 
Balanced Accuracy  0.9706 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9697 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:40:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:40:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:40:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:40:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:40:42 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.69; User: 20.80; System: 0.67) 
[2020-06-29 05:40:42 FUN] Running grid line #24 of 40... 
[2020-06-29 05:40:42 s.ADDTREE] Hello,  

[2020-06-29 05:40:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:40:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8929 
Balanced Accuracy  0.9321 
              PPV  0.9189 
              NPV  0.9615 
               F1  0.9444 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:40:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:40:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:40:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:40:47 s.ADDTREE] Pruning tree... 

[2020-06-29 05:40:47 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.73; User: 8.31; System: 0.47) 
[2020-06-29 05:40:47 FUN] Running grid line #25 of 40... 
[2020-06-29 05:40:48 s.ADDTREE] Hello,  

[2020-06-29 05:40:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:40:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  28

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9655 
               F1  0.9851 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:40:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:40:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:40:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:40:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:40:56 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.71; User: 13.83; System: 0.51) 
[2020-06-29 05:40:56 FUN] Running grid line #26 of 40... 
[2020-06-29 05:40:56 s.ADDTREE] Hello,  

[2020-06-29 05:40:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:40:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9714 
              NPV  1.0000 
               F1  0.9855 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:41:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:08 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:11 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.19; User: 23.61; System: 0.96) 
[2020-06-29 05:41:11 FUN] Running grid line #27 of 40... 
[2020-06-29 05:41:11 s.ADDTREE] Hello,  

[2020-06-29 05:41:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:41:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:41:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:20 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.45; User: 14.98; System: 0.56) 
[2020-06-29 05:41:20 FUN] Running grid line #28 of 40... 
[2020-06-29 05:41:20 s.ADDTREE] Hello,  

[2020-06-29 05:41:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:41:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   2  27

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9643 
Balanced Accuracy  0.9527 
              PPV  0.9697 
              NPV  0.9310 
               F1  0.9552 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:41:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:30 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:32 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.72; User: 19.05; System: 0.50) 
[2020-06-29 05:41:32 FUN] Running grid line #29 of 40... 
[2020-06-29 05:41:32 s.ADDTREE] Hello,  

[2020-06-29 05:41:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:41:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9444 
              NPV  1.0000 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:41:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:42 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.42; User: 15.39; System: 0.67) 
[2020-06-29 05:41:42 FUN] Running grid line #30 of 40... 
[2020-06-29 05:41:42 s.ADDTREE] Hello,  

[2020-06-29 05:41:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:41:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   0  28

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:41:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:52 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.28; User: 16.29; System: 0.62) 
[2020-06-29 05:41:52 FUN] Running grid line #31 of 40... 
[2020-06-29 05:41:52 s.ADDTREE] Hello,  

[2020-06-29 05:41:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:41:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19  15
                0  15  12

                   Overall  
      Sensitivity  0.5588 
      Specificity  0.4444 
Balanced Accuracy  0.5016 
              PPV  0.5588 
              NPV  0.4444 
               F1  0.5588 
         Accuracy  0.5082 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:41:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:41:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:41:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:41:58 s.ADDTREE] Pruning tree... 

[2020-06-29 05:41:59 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.13; User: 10.69; System: 0.55) 
[2020-06-29 05:41:59 FUN] Running grid line #32 of 40... 
[2020-06-29 05:41:59 s.ADDTREE] Hello,  

[2020-06-29 05:41:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  10
                0  18  18

                   Overall  
      Sensitivity  0.4706 
      Specificity  0.6429 
Balanced Accuracy  0.5567 
              PPV  0.6154 
              NPV  0.5000 
               F1  0.5333 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:42:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:06 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.19; User: 9.11; System: 0.47) 
[2020-06-29 05:42:06 FUN] Running grid line #33 of 40... 
[2020-06-29 05:42:06 s.ADDTREE] Hello,  

[2020-06-29 05:42:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   6
                0  21  22

                   Overall  
      Sensitivity  0.3824 
      Specificity  0.7857 
Balanced Accuracy  0.5840 
              PPV  0.6842 
              NPV  0.5116 
               F1  0.4906 
         Accuracy  0.5645 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:42:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:12 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:13 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.09; User: 10.47; System: 0.47) 
[2020-06-29 05:42:13 FUN] Running grid line #34 of 40... 
[2020-06-29 05:42:13 s.ADDTREE] Hello,  

[2020-06-29 05:42:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:42:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4  17
                0  31  11

                   Overall  
      Sensitivity  0.1143 
      Specificity  0.3929 
Balanced Accuracy  0.2536 
              PPV  0.1905 
              NPV  0.2619 
               F1  0.1429 
         Accuracy  0.2381 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:42:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:19 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.90; User: 8.09; System: 0.52) 
[2020-06-29 05:42:19 FUN] Running grid line #35 of 40... 
[2020-06-29 05:42:19 s.ADDTREE] Hello,  

[2020-06-29 05:42:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   5   1
                0  29  27

                   Overall  
      Sensitivity  0.1471 
      Specificity  0.9643 
Balanced Accuracy  0.5557 
              PPV  0.8333 
              NPV  0.4821 
               F1  0.2500 
         Accuracy  0.5161 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:42:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:24 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.23; User: 7.28; System: 0.48) 
[2020-06-29 05:42:24 FUN] Running grid line #36 of 40... 
[2020-06-29 05:42:24 s.ADDTREE] Hello,  

[2020-06-29 05:42:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  22
                0  19   6

                   Overall  
      Sensitivity  0.4412 
      Specificity  0.2143 
Balanced Accuracy  0.3277 
              PPV  0.4054 
              NPV  0.2400 
               F1  0.4225 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  0

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.0000 
Balanced Accuracy  0.1250 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:42:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:29 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:30 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.68; User: 8.20; System: 0.42) 
[2020-06-29 05:42:30 FUN] Running grid line #37 of 40... 
[2020-06-29 05:42:30 s.ADDTREE] Hello,  

[2020-06-29 05:42:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:42:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  15
                0  19  13

                   Overall  
      Sensitivity  0.4571 
      Specificity  0.4643 
Balanced Accuracy  0.4607 
              PPV  0.5161 
              NPV  0.4062 
               F1  0.4848 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 05:42:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:36 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:38 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.47; User: 11.03; System: 0.62) 
[2020-06-29 05:42:38 FUN] Running grid line #38 of 40... 
[2020-06-29 05:42:38 s.ADDTREE] Hello,  

[2020-06-29 05:42:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  20
                0  17   8

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.2857 
Balanced Accuracy  0.3929 
              PPV  0.4595 
              NPV  0.3200 
               F1  0.4789 
         Accuracy  0.4032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  2  0

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.0000 
Balanced Accuracy  0.2500 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:42:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:43 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:45 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.92; User: 10.35; System: 0.44) 
[2020-06-29 05:42:45 FUN] Running grid line #39 of 40... 
[2020-06-29 05:42:45 s.ADDTREE] Hello,  

[2020-06-29 05:42:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  26   9
                0   8  19

                   Overall  
      Sensitivity  0.7647 
      Specificity  0.6786 
Balanced Accuracy  0.7216 
              PPV  0.7429 
              NPV  0.7037 
               F1  0.7536 
         Accuracy  0.7258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:42:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:52 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.85; User: 10.45; System: 0.28) 
[2020-06-29 05:42:52 FUN] Running grid line #40 of 40... 
[2020-06-29 05:42:52 s.ADDTREE] Hello,  

[2020-06-29 05:42:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:42:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   7
                0   5  21

                   Overall  
      Sensitivity  0.8529 
      Specificity  0.7500 
Balanced Accuracy  0.8015 
              PPV  0.8056 
              NPV  0.8077 
               F1  0.8286 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:42:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:42:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:42:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:42:56 s.ADDTREE] Pruning tree... 

[2020-06-29 05:42:56 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.46; User: 5.78; System: 0.53) 
[2020-06-29 05:43:05 FUN] Running grid line #1 of 40... 
[2020-06-29 05:43:05 s.ADDTREE] Hello,  

[2020-06-29 05:43:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:43:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   5  24

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8889 
Balanced Accuracy  0.8730 
              PPV  0.9091 
              NPV  0.8276 
               F1  0.8824 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  4

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5714 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:43:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:43:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:43:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:43:19 s.ADDTREE] Pruning tree... 

[2020-06-29 05:43:22 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.75; User: 28.78; System: 0.91) 
[2020-06-29 05:43:22 FUN] Running grid line #2 of 40... 
[2020-06-29 05:43:22 s.ADDTREE] Hello,  

[2020-06-29 05:43:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:43:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   4  28

                   Overall  
      Sensitivity  0.8857 
      Specificity  1.0000 
Balanced Accuracy  0.9429 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9394 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:43:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:43:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:43:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:43:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:43:32 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.25; User: 16.03; System: 0.62) 
[2020-06-29 05:43:32 FUN] Running grid line #3 of 40... 
[2020-06-29 05:43:32 s.ADDTREE] Hello,  

[2020-06-29 05:43:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:43:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8929 
Balanced Accuracy  0.9464 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:43:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:43:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:43:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:43:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:43:49 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.84; User: 28.65; System: 1.05) 
[2020-06-29 05:43:49 FUN] Running grid line #4 of 40... 
[2020-06-29 05:43:49 s.ADDTREE] Hello,  

[2020-06-29 05:43:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:43:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   5
                0   5  23

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8214 
Balanced Accuracy  0.8393 
              PPV  0.8571 
              NPV  0.8214 
               F1  0.8571 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:43:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:43:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:43:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:43:56 s.ADDTREE] Pruning tree... 

[2020-06-29 05:43:57 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.83; User: 12.04; System: 0.48) 
[2020-06-29 05:43:57 FUN] Running grid line #5 of 40... 
[2020-06-29 05:43:57 s.ADDTREE] Hello,  

[2020-06-29 05:43:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:43:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   4
                0   2  24

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.8571 
Balanced Accuracy  0.9000 
              PPV  0.8919 
              NPV  0.9231 
               F1  0.9167 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:44:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:44:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:44:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:44:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:44:09 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.46; User: 18.86; System: 0.75) 
[2020-06-29 05:44:09 FUN] Running grid line #6 of 40... 
[2020-06-29 05:44:09 s.ADDTREE] Hello,  

[2020-06-29 05:44:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:44:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   7  26

                   Overall  
      Sensitivity  0.8056 
      Specificity  0.9286 
Balanced Accuracy  0.8671 
              PPV  0.9355 
              NPV  0.7879 
               F1  0.8657 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:44:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:44:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:44:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:44:18 s.ADDTREE] Pruning tree... 

[2020-06-29 05:44:20 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.93; User: 17.91; System: 0.58) 
[2020-06-29 05:44:20 FUN] Running grid line #7 of 40... 
[2020-06-29 05:44:20 s.ADDTREE] Hello,  

[2020-06-29 05:44:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:44:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:44:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:44:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:44:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:44:33 s.ADDTREE] Pruning tree... 

[2020-06-29 05:44:35 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.24; User: 25.20; System: 0.96) 
[2020-06-29 05:44:35 FUN] Running grid line #8 of 40... 
[2020-06-29 05:44:35 s.ADDTREE] Hello,  

[2020-06-29 05:44:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:44:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   4
                0   3  24

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8571 
Balanced Accuracy  0.8857 
              PPV  0.8889 
              NPV  0.8889 
               F1  0.9014 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:44:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:44:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:44:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:44:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:44:46 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.81; User: 17.58; System: 0.42) 
[2020-06-29 05:44:46 FUN] Running grid line #9 of 40... 
[2020-06-29 05:44:46 s.ADDTREE] Hello,  

[2020-06-29 05:44:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:44:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   6
                0   4  22

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.7857 
Balanced Accuracy  0.8357 
              PPV  0.8378 
              NPV  0.8462 
               F1  0.8611 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:44:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:44:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:44:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:44:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:44:55 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.72; User: 13.85; System: 0.46) 
[2020-06-29 05:44:55 FUN] Running grid line #10 of 40... 
[2020-06-29 05:44:55 s.ADDTREE] Hello,  

[2020-06-29 05:44:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:44:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   2
                0   7  26

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9286 
Balanced Accuracy  0.8643 
              PPV  0.9333 
              NPV  0.7879 
               F1  0.8615 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:45:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:45:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:45:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:45:07 s.ADDTREE] Pruning tree... 

[2020-06-29 05:45:10 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.08; User: 25.68; System: 0.84) 
[2020-06-29 05:45:10 FUN] Running grid line #11 of 40... 
[2020-06-29 05:45:10 s.ADDTREE] Hello,  

[2020-06-29 05:45:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:45:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  4

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5714 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 05:45:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:45:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:45:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:45:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:45:28 s.ADDTREE] Run completed in 0.30 minutes (Real: 18.03; User: 30.51; System: 0.99) 
[2020-06-29 05:45:28 FUN] Running grid line #12 of 40... 
[2020-06-29 05:45:28 s.ADDTREE] Hello,  

[2020-06-29 05:45:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:45:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   1  28

                   Overall  
      Sensitivity  0.9714 
      Specificity  1.0000 
Balanced Accuracy  0.9857 
              PPV  1.0000 
              NPV  0.9655 
               F1  0.9855 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:45:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:45:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:45:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:45:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:45:43 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.16; User: 23.19; System: 0.81) 
[2020-06-29 05:45:43 FUN] Running grid line #13 of 40... 
[2020-06-29 05:45:43 s.ADDTREE] Hello,  

[2020-06-29 05:45:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:45:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:45:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:45:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:45:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:45:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:46:00 s.ADDTREE] Run completed in 0.30 minutes (Real: 17.80; User: 30.89; System: 0.82) 
[2020-06-29 05:46:01 FUN] Running grid line #14 of 40... 
[2020-06-29 05:46:01 s.ADDTREE] Hello,  

[2020-06-29 05:46:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:46:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:46:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:46:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:46:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:46:13 s.ADDTREE] Pruning tree... 

[2020-06-29 05:46:16 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.48; User: 26.39; System: 0.89) 
[2020-06-29 05:46:16 FUN] Running grid line #15 of 40... 
[2020-06-29 05:46:16 s.ADDTREE] Hello,  

[2020-06-29 05:46:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:46:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  27

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9643 
Balanced Accuracy  0.9250 
              PPV  0.9688 
              NPV  0.8710 
               F1  0.9254 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:46:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:46:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:46:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:46:29 s.ADDTREE] Pruning tree... 

[2020-06-29 05:46:32 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.88; User: 26.50; System: 0.93) 
[2020-06-29 05:46:32 FUN] Running grid line #16 of 40... 
[2020-06-29 05:46:32 s.ADDTREE] Hello,  

[2020-06-29 05:46:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:46:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   1  26

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.9286 
Balanced Accuracy  0.9504 
              PPV  0.9459 
              NPV  0.9630 
               F1  0.9589 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:46:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:46:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:46:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:46:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:46:47 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.11; User: 25.54; System: 0.89) 
[2020-06-29 05:46:47 FUN] Running grid line #17 of 40... 
[2020-06-29 05:46:47 s.ADDTREE] Hello,  

[2020-06-29 05:46:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:46:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8929 
Balanced Accuracy  0.9464 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:46:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:46:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:46:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:47:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:47:07 s.ADDTREE] Run completed in 0.33 minutes (Real: 19.58; User: 33.62; System: 1.25) 
[2020-06-29 05:47:07 FUN] Running grid line #18 of 40... 
[2020-06-29 05:47:07 s.ADDTREE] Hello,  

[2020-06-29 05:47:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:47:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:47:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:47:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:47:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:47:20 s.ADDTREE] Pruning tree... 

[2020-06-29 05:47:24 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.85; User: 26.20; System: 1.04) 
[2020-06-29 05:47:24 FUN] Running grid line #19 of 40... 
[2020-06-29 05:47:24 s.ADDTREE] Hello,  

[2020-06-29 05:47:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:47:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8929 
Balanced Accuracy  0.9321 
              PPV  0.9189 
              NPV  0.9615 
               F1  0.9444 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:47:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:47:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:47:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:47:34 s.ADDTREE] Pruning tree... 

[2020-06-29 05:47:36 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.48; User: 17.99; System: 0.91) 
[2020-06-29 05:47:36 FUN] Running grid line #20 of 40... 
[2020-06-29 05:47:36 s.ADDTREE] Hello,  

[2020-06-29 05:47:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:47:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   4
                0   3  24

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8571 
Balanced Accuracy  0.8857 
              PPV  0.8889 
              NPV  0.8889 
               F1  0.9014 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:47:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:47:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:47:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:47:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:47:54 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.42; User: 31.44; System: 1.11) 
[2020-06-29 05:47:54 FUN] Running grid line #21 of 40... 
[2020-06-29 05:47:54 s.ADDTREE] Hello,  

[2020-06-29 05:47:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:47:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:48:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:48:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:48:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:48:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:48:06 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.10; User: 20.23; System: 0.81) 
[2020-06-29 05:48:06 FUN] Running grid line #22 of 40... 
[2020-06-29 05:48:07 s.ADDTREE] Hello,  

[2020-06-29 05:48:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:48:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   3  28

                   Overall  
      Sensitivity  0.9143 
      Specificity  1.0000 
Balanced Accuracy  0.9571 
              PPV  1.0000 
              NPV  0.9032 
               F1  0.9552 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:48:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:48:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:48:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:48:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:48:17 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.85; User: 17.43; System: 0.66) 
[2020-06-29 05:48:17 FUN] Running grid line #23 of 40... 
[2020-06-29 05:48:17 s.ADDTREE] Hello,  

[2020-06-29 05:48:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:48:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:48:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:48:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:48:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:48:25 s.ADDTREE] Pruning tree... 

[2020-06-29 05:48:27 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.64; User: 15.89; System: 0.53) 
[2020-06-29 05:48:27 FUN] Running grid line #24 of 40... 
[2020-06-29 05:48:27 s.ADDTREE] Hello,  

[2020-06-29 05:48:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:48:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  3
                0  1  0

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.0000 
Balanced Accuracy  0.3750 
              PPV  0.5000 
              NPV  0.0000 
               F1  0.6000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:48:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:48:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:48:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:48:37 s.ADDTREE] Pruning tree... 

[2020-06-29 05:48:40 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.67; User: 21.07; System: 0.61) 
[2020-06-29 05:48:40 FUN] Running grid line #25 of 40... 
[2020-06-29 05:48:40 s.ADDTREE] Hello,  

[2020-06-29 05:48:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:48:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:48:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:48:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:48:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:48:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:48:56 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.37; User: 27.70; System: 0.75) 
[2020-06-29 05:48:56 FUN] Running grid line #26 of 40... 
[2020-06-29 05:48:56 s.ADDTREE] Hello,  

[2020-06-29 05:48:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:48:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  36   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9730 
              NPV  1.0000 
               F1  0.9863 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:49:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:05 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:07 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.47; User: 17.03; System: 0.71) 
[2020-06-29 05:49:07 FUN] Running grid line #27 of 40... 
[2020-06-29 05:49:07 s.ADDTREE] Hello,  

[2020-06-29 05:49:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:49:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9286 
Balanced Accuracy  0.9500 
              PPV  0.9444 
              NPV  0.9630 
               F1  0.9577 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:49:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:18 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.27; User: 18.67; System: 0.58) 
[2020-06-29 05:49:18 FUN] Running grid line #28 of 40... 
[2020-06-29 05:49:18 s.ADDTREE] Hello,  

[2020-06-29 05:49:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:49:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:49:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:30 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.20; User: 18.14; System: 0.54) 
[2020-06-29 05:49:30 FUN] Running grid line #29 of 40... 
[2020-06-29 05:49:30 s.ADDTREE] Hello,  

[2020-06-29 05:49:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:49:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   3
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8929 
Balanced Accuracy  0.9321 
              PPV  0.9189 
              NPV  0.9615 
               F1  0.9444 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:49:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:36 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:37 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.95; User: 10.56; System: 0.46) 
[2020-06-29 05:49:37 FUN] Running grid line #30 of 40... 
[2020-06-29 05:49:37 s.ADDTREE] Hello,  

[2020-06-29 05:49:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:49:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  27

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9643 
Balanced Accuracy  0.9250 
              PPV  0.9688 
              NPV  0.8710 
               F1  0.9254 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:49:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:47 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:49 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.19; User: 20.32; System: 0.68) 
[2020-06-29 05:49:49 FUN] Running grid line #31 of 40... 
[2020-06-29 05:49:49 s.ADDTREE] Hello,  

[2020-06-29 05:49:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:49:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31  15
                0   4  12

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.4444 
Balanced Accuracy  0.6651 
              PPV  0.6739 
              NPV  0.7500 
               F1  0.7654 
         Accuracy  0.6935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:49:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:49:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:49:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:49:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:49:56 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.23; User: 10.61; System: 0.64) 
[2020-06-29 05:49:57 FUN] Running grid line #32 of 40... 
[2020-06-29 05:49:57 s.ADDTREE] Hello,  

[2020-06-29 05:49:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:49:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   3
                0  27  25

                   Overall  
      Sensitivity  0.2286 
      Specificity  0.8929 
Balanced Accuracy  0.5607 
              PPV  0.7273 
              NPV  0.4808 
               F1  0.3478 
         Accuracy  0.5238 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:50:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:04 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.73; User: 11.66; System: 0.42) 
[2020-06-29 05:50:04 FUN] Running grid line #33 of 40... 
[2020-06-29 05:50:04 s.ADDTREE] Hello,  

[2020-06-29 05:50:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  11
                0  24  17

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.6071 
Balanced Accuracy  0.4607 
              PPV  0.5000 
              NPV  0.4146 
               F1  0.3860 
         Accuracy  0.4444 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  4  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:50:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:10 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:12 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.45; User: 11.42; System: 0.53) 
[2020-06-29 05:50:12 FUN] Running grid line #34 of 40... 
[2020-06-29 05:50:12 s.ADDTREE] Hello,  

[2020-06-29 05:50:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2  14
                0  33  14

                   Overall  
      Sensitivity  0.0571 
      Specificity  0.5000 
Balanced Accuracy  0.2786 
              PPV  0.1250 
              NPV  0.2979 
               F1  0.0784 
         Accuracy  0.2540 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:50:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:17 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:18 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.39; User: 9.28; System: 0.38) 
[2020-06-29 05:50:19 FUN] Running grid line #35 of 40... 
[2020-06-29 05:50:19 s.ADDTREE] Hello,  

[2020-06-29 05:50:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  20
                0  26   8

                   Overall  
      Sensitivity  0.2571 
      Specificity  0.2857 
Balanced Accuracy  0.2714 
              PPV  0.3103 
              NPV  0.2353 
               F1  0.2812 
         Accuracy  0.2698 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:50:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:25 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.61; User: 9.51; System: 0.57) 
[2020-06-29 05:50:25 FUN] Running grid line #36 of 40... 
[2020-06-29 05:50:25 s.ADDTREE] Hello,  

[2020-06-29 05:50:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:50:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27  12
                0   9  16

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5714 
Balanced Accuracy  0.6607 
              PPV  0.6923 
              NPV  0.6400 
               F1  0.7200 
         Accuracy  0.6719 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:50:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:32 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.41; User: 9.15; System: 0.53) 
[2020-06-29 05:50:32 FUN] Running grid line #37 of 40... 
[2020-06-29 05:50:32 s.ADDTREE] Hello,  

[2020-06-29 05:50:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  16
                0  20  12

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.4286 
Balanced Accuracy  0.4286 
              PPV  0.4839 
              NPV  0.3750 
               F1  0.4545 
         Accuracy  0.4286 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:50:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:41 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.34; User: 14.97; System: 0.59) 
[2020-06-29 05:50:41 FUN] Running grid line #38 of 40... 
[2020-06-29 05:50:41 s.ADDTREE] Hello,  

[2020-06-29 05:50:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28  16
                0   7  12

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.4286 
Balanced Accuracy  0.6143 
              PPV  0.6364 
              NPV  0.6316 
               F1  0.7089 
         Accuracy  0.6349 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  3
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.5714 
              NPV  NA     
               F1  0.7273 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:50:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:47 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.16; User: 9.02; System: 0.41) 
[2020-06-29 05:50:48 FUN] Running grid line #39 of 40... 
[2020-06-29 05:50:48 s.ADDTREE] Hello,  

[2020-06-29 05:50:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  15
                0  20  13

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.4643 
Balanced Accuracy  0.4464 
              PPV  0.5000 
              NPV  0.3939 
               F1  0.4615 
         Accuracy  0.4444 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:50:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:50:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:50:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:50:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:50:55 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.90; User: 12.09; System: 0.65) 
[2020-06-29 05:50:56 FUN] Running grid line #40 of 40... 
[2020-06-29 05:50:56 s.ADDTREE] Hello,  

[2020-06-29 05:50:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:50:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   9  14
                0  26  14

                   Overall  
      Sensitivity  0.2571 
      Specificity  0.5000 
Balanced Accuracy  0.3786 
              PPV  0.3913 
              NPV  0.3500 
               F1  0.3103 
         Accuracy  0.3651 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:51:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:51:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:51:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:51:02 s.ADDTREE] Pruning tree... 

[2020-06-29 05:51:04 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.22; User: 12.55; System: 0.48) 
[2020-06-29 05:51:13 FUN] Running grid line #1 of 40... 
[2020-06-29 05:51:13 s.ADDTREE] Hello,  

[2020-06-29 05:51:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:51:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   6  24

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.8889 
Balanced Accuracy  0.8587 
              PPV  0.9062 
              NPV  0.8000 
               F1  0.8657 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:51:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:51:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:51:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:51:24 s.ADDTREE] Pruning tree... 

[2020-06-29 05:51:26 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.36; User: 21.89; System: 0.97) 
[2020-06-29 05:51:26 FUN] Running grid line #2 of 40... 
[2020-06-29 05:51:26 s.ADDTREE] Hello,  

[2020-06-29 05:51:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:51:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  25

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9259 
Balanced Accuracy  0.8915 
              PPV  0.9375 
              NPV  0.8333 
               F1  0.8955 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:51:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:51:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:51:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:51:36 s.ADDTREE] Pruning tree... 

[2020-06-29 05:51:38 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.35; User: 18.23; System: 0.61) 
[2020-06-29 05:51:38 FUN] Running grid line #3 of 40... 
[2020-06-29 05:51:38 s.ADDTREE] Hello,  

[2020-06-29 05:51:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:51:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   4
                0   6  23

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.8519 
Balanced Accuracy  0.8402 
              PPV  0.8788 
              NPV  0.7931 
               F1  0.8529 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:51:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:51:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:51:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:51:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:51:52 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.52; User: 24.29; System: 0.88) 
[2020-06-29 05:51:52 FUN] Running grid line #4 of 40... 
[2020-06-29 05:51:52 s.ADDTREE] Hello,  

[2020-06-29 05:51:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:51:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:51:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:51:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:51:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:52:02 s.ADDTREE] Pruning tree... 

[2020-06-29 05:52:04 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.75; User: 19.26; System: 0.79) 
[2020-06-29 05:52:04 FUN] Running grid line #5 of 40... 
[2020-06-29 05:52:04 s.ADDTREE] Hello,  

[2020-06-29 05:52:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:52:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  25

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9259 
Balanced Accuracy  0.8915 
              PPV  0.9375 
              NPV  0.8333 
               F1  0.8955 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:52:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:52:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:52:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:52:17 s.ADDTREE] Pruning tree... 

[2020-06-29 05:52:20 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.67; User: 26.12; System: 0.94) 
[2020-06-29 05:52:20 FUN] Running grid line #6 of 40... 
[2020-06-29 05:52:20 s.ADDTREE] Hello,  

[2020-06-29 05:52:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:52:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   5
                0   3  22

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8148 
Balanced Accuracy  0.8657 
              PPV  0.8684 
              NPV  0.8800 
               F1  0.8919 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:52:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:52:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:52:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:52:30 s.ADDTREE] Pruning tree... 

[2020-06-29 05:52:31 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.45; User: 18.64; System: 0.64) 
[2020-06-29 05:52:31 FUN] Running grid line #7 of 40... 
[2020-06-29 05:52:32 s.ADDTREE] Hello,  

[2020-06-29 05:52:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:52:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  25

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9259 
Balanced Accuracy  0.8915 
              PPV  0.9375 
              NPV  0.8333 
               F1  0.8955 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:52:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:52:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:52:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:52:42 s.ADDTREE] Pruning tree... 

[2020-06-29 05:52:44 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.44; User: 20.46; System: 0.75) 
[2020-06-29 05:52:44 FUN] Running grid line #8 of 40... 
[2020-06-29 05:52:44 s.ADDTREE] Hello,  

[2020-06-29 05:52:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:52:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   4  24

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8889 
Balanced Accuracy  0.8873 
              PPV  0.9118 
              NPV  0.8571 
               F1  0.8986 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:52:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:52:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:52:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:52:53 s.ADDTREE] Pruning tree... 

[2020-06-29 05:52:55 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.58; User: 17.33; System: 0.72) 
[2020-06-29 05:52:55 FUN] Running grid line #9 of 40... 
[2020-06-29 05:52:55 s.ADDTREE] Hello,  

[2020-06-29 05:52:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:52:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   4
                0   5  23

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8519 
Balanced Accuracy  0.8545 
              PPV  0.8824 
              NPV  0.8214 
               F1  0.8696 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:53:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:53:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:53:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:53:06 s.ADDTREE] Pruning tree... 

[2020-06-29 05:53:09 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.22; User: 21.88; System: 0.94) 
[2020-06-29 05:53:09 FUN] Running grid line #10 of 40... 
[2020-06-29 05:53:09 s.ADDTREE] Hello,  

[2020-06-29 05:53:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:53:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   4
                0   4  23

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8519 
Balanced Accuracy  0.8688 
              PPV  0.8857 
              NPV  0.8519 
               F1  0.8857 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:53:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:53:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:53:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:53:19 s.ADDTREE] Pruning tree... 

[2020-06-29 05:53:21 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.34; User: 18.24; System: 0.66) 
[2020-06-29 05:53:21 FUN] Running grid line #11 of 40... 
[2020-06-29 05:53:21 s.ADDTREE] Hello,  

[2020-06-29 05:53:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:53:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  24

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8889 
Balanced Accuracy  0.9444 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:53:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:53:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:53:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:53:37 s.ADDTREE] Pruning tree... 

[2020-06-29 05:53:41 s.ADDTREE] Run completed in 0.34 minutes (Real: 20.34; User: 34.95; System: 0.92) 
[2020-06-29 05:53:41 FUN] Running grid line #12 of 40... 
[2020-06-29 05:53:41 s.ADDTREE] Hello,  

[2020-06-29 05:53:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:53:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9259 
Balanced Accuracy  0.9630 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:53:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:53:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:53:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:53:56 s.ADDTREE] Pruning tree... 

[2020-06-29 05:53:59 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.37; User: 32; System: 0.82) 
[2020-06-29 05:54:00 FUN] Running grid line #13 of 40... 
[2020-06-29 05:54:00 s.ADDTREE] Hello,  

[2020-06-29 05:54:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:54:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9630 
Balanced Accuracy  0.9529 
              PPV  0.9706 
              NPV  0.9286 
               F1  0.9565 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:54:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:54:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:54:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:54:15 s.ADDTREE] Pruning tree... 

[2020-06-29 05:54:19 s.ADDTREE] Run completed in 0.32 minutes (Real: 19.05; User: 30.81; System: 1.12) 
[2020-06-29 05:54:19 FUN] Running grid line #14 of 40... 
[2020-06-29 05:54:19 s.ADDTREE] Hello,  

[2020-06-29 05:54:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:54:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9630 
Balanced Accuracy  0.9672 
              PPV  0.9714 
              NPV  0.9630 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:54:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:54:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:54:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:54:31 s.ADDTREE] Pruning tree... 

[2020-06-29 05:54:33 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.66; User: 24.07; System: 0.86) 
[2020-06-29 05:54:34 FUN] Running grid line #15 of 40... 
[2020-06-29 05:54:34 s.ADDTREE] Hello,  

[2020-06-29 05:54:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:54:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  25

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9259 
Balanced Accuracy  0.8915 
              PPV  0.9375 
              NPV  0.8333 
               F1  0.8955 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:54:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:54:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:54:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:54:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:54:49 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.46; User: 26.16; System: 0.65) 
[2020-06-29 05:54:49 FUN] Running grid line #16 of 40... 
[2020-06-29 05:54:49 s.ADDTREE] Hello,  

[2020-06-29 05:54:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:54:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  36   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9730 
              NPV  1.0000 
               F1  0.9863 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:54:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:54:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:54:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:55:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:55:06 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.30; User: 28.91; System: 1) 
[2020-06-29 05:55:07 FUN] Running grid line #17 of 40... 
[2020-06-29 05:55:07 s.ADDTREE] Hello,  

[2020-06-29 05:55:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:55:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:55:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:55:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:55:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:55:25 s.ADDTREE] Pruning tree... 

[2020-06-29 05:55:30 s.ADDTREE] Run completed in 0.38 minutes (Real: 23.03; User: 38.56; System: 1.30) 
[2020-06-29 05:55:30 FUN] Running grid line #18 of 40... 
[2020-06-29 05:55:30 s.ADDTREE] Hello,  

[2020-06-29 05:55:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:55:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   4  24

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8889 
Balanced Accuracy  0.8873 
              PPV  0.9118 
              NPV  0.8571 
               F1  0.8986 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:55:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:55:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:55:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:55:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:55:43 s.ADDTREE] Run completed in 0.22 minutes (Real: 12.93; User: 20.49; System: 0.76) 
[2020-06-29 05:55:43 FUN] Running grid line #19 of 40... 
[2020-06-29 05:55:43 s.ADDTREE] Hello,  

[2020-06-29 05:55:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:55:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   3
                0   5  24

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.8889 
Balanced Accuracy  0.8730 
              PPV  0.9091 
              NPV  0.8276 
               F1  0.8824 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:55:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:55:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:55:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:55:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:55:58 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.94; User: 24.15; System: 0.95) 
[2020-06-29 05:55:58 FUN] Running grid line #20 of 40... 
[2020-06-29 05:55:58 s.ADDTREE] Hello,  

[2020-06-29 05:55:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:55:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:56:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:56:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:56:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:56:11 s.ADDTREE] Pruning tree... 

[2020-06-29 05:56:14 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.20; User: 26.35; System: 1.06) 
[2020-06-29 05:56:14 FUN] Running grid line #21 of 40... 
[2020-06-29 05:56:14 s.ADDTREE] Hello,  

[2020-06-29 05:56:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:56:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:56:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:56:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:56:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:56:25 s.ADDTREE] Pruning tree... 

[2020-06-29 05:56:28 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.87; User: 22.25; System: 0.83) 
[2020-06-29 05:56:28 FUN] Running grid line #22 of 40... 
[2020-06-29 05:56:28 s.ADDTREE] Hello,  

[2020-06-29 05:56:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:56:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:56:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:56:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:56:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:56:40 s.ADDTREE] Pruning tree... 

[2020-06-29 05:56:43 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.62; User: 23.80; System: 0.61) 
[2020-06-29 05:56:43 FUN] Running grid line #23 of 40... 
[2020-06-29 05:56:43 s.ADDTREE] Hello,  

[2020-06-29 05:56:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:56:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   3  27

                   Overall  
      Sensitivity  0.9143 
      Specificity  1.0000 
Balanced Accuracy  0.9571 
              PPV  1.0000 
              NPV  0.9000 
               F1  0.9552 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 05:56:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:56:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:56:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:56:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:56:57 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.52; User: 22.62; System: 0.64) 
[2020-06-29 05:56:57 FUN] Running grid line #24 of 40... 
[2020-06-29 05:56:57 s.ADDTREE] Hello,  

[2020-06-29 05:56:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:56:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9630 
Balanced Accuracy  0.9672 
              PPV  0.9714 
              NPV  0.9630 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:57:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:06 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.44; User: 15.19; System: 0.53) 
[2020-06-29 05:57:06 FUN] Running grid line #25 of 40... 
[2020-06-29 05:57:06 s.ADDTREE] Hello,  

[2020-06-29 05:57:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:57:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:57:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:16 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:19 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.86; User: 21.13; System: 0.73) 
[2020-06-29 05:57:19 FUN] Running grid line #26 of 40... 
[2020-06-29 05:57:19 s.ADDTREE] Hello,  

[2020-06-29 05:57:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:57:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   3  24

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8889 
Balanced Accuracy  0.9028 
              PPV  0.9167 
              NPV  0.8889 
               F1  0.9167 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 05:57:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:30 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.69; User: 17.56; System: 0.50) 
[2020-06-29 05:57:30 FUN] Running grid line #27 of 40... 
[2020-06-29 05:57:30 s.ADDTREE] Hello,  

[2020-06-29 05:57:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:57:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25   1
                0  10  26

                   Overall  
      Sensitivity  0.7143 
      Specificity  0.9630 
Balanced Accuracy  0.8386 
              PPV  0.9615 
              NPV  0.7222 
               F1  0.8197 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:57:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:38 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:39 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.48; User: 14.27; System: 0.77) 
[2020-06-29 05:57:40 FUN] Running grid line #28 of 40... 
[2020-06-29 05:57:40 s.ADDTREE] Hello,  

[2020-06-29 05:57:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:57:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   0
                0   6  27

                   Overall  
      Sensitivity  0.8286 
      Specificity  1.0000 
Balanced Accuracy  0.9143 
              PPV  1.0000 
              NPV  0.8182 
               F1  0.9062 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:57:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:46 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:47 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 11.89; System: 0.43) 
[2020-06-29 05:57:47 FUN] Running grid line #29 of 40... 
[2020-06-29 05:57:47 s.ADDTREE] Hello,  

[2020-06-29 05:57:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:57:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   5  26

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9630 
Balanced Accuracy  0.9101 
              PPV  0.9677 
              NPV  0.8387 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 05:57:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:57:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:57:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:57:55 s.ADDTREE] Pruning tree... 

[2020-06-29 05:57:56 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.78; User: 13.62; System: 0.50) 
[2020-06-29 05:57:56 FUN] Running grid line #30 of 40... 
[2020-06-29 05:57:56 s.ADDTREE] Hello,  

[2020-06-29 05:57:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:57:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:58:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:04 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:06 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.52; User: 14.58; System: 0.71) 
[2020-06-29 05:58:06 FUN] Running grid line #31 of 40... 
[2020-06-29 05:58:06 s.ADDTREE] Hello,  

[2020-06-29 05:58:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  19
                0  20   8

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.2963 
Balanced Accuracy  0.3624 
              PPV  0.4412 
              NPV  0.2857 
               F1  0.4348 
         Accuracy  0.3710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  3  0

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.0000 
Balanced Accuracy  0.1250 
              PPV  0.2500 
              NPV  0.0000 
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 05:58:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:11 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:12 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.54; User: 7.79; System: 0.38) 
[2020-06-29 05:58:12 FUN] Running grid line #32 of 40... 
[2020-06-29 05:58:12 s.ADDTREE] Hello,  

[2020-06-29 05:58:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  12
                0  24  15

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.5556 
Balanced Accuracy  0.4349 
              PPV  0.4783 
              NPV  0.3846 
               F1  0.3793 
         Accuracy  0.4194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:58:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:17 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:17 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.64; User: 8.13; System: 0.53) 
[2020-06-29 05:58:17 FUN] Running grid line #33 of 40... 
[2020-06-29 05:58:17 s.ADDTREE] Hello,  

[2020-06-29 05:58:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   1
                0  29  26

                   Overall  
      Sensitivity  0.1714 
      Specificity  0.9630 
Balanced Accuracy  0.5672 
              PPV  0.8571 
              NPV  0.4727 
               F1  0.2857 
         Accuracy  0.5161 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:58:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:22 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:23 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.73; User: 8.01; System: 0.53) 
[2020-06-29 05:58:23 FUN] Running grid line #34 of 40... 
[2020-06-29 05:58:23 s.ADDTREE] Hello,  

[2020-06-29 05:58:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  23
                0  17   4

                   Overall  
      Sensitivity  0.5143 
      Specificity  0.1481 
Balanced Accuracy  0.3312 
              PPV  0.4390 
              NPV  0.1905 
               F1  0.4737 
         Accuracy  0.3548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:58:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:28 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:28 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.64; User: 6.10; System: 0.27) 
[2020-06-29 05:58:28 FUN] Running grid line #35 of 40... 
[2020-06-29 05:58:28 s.ADDTREE] Hello,  

[2020-06-29 05:58:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  10
                0  24  17

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.6296 
Balanced Accuracy  0.4720 
              PPV  0.5238 
              NPV  0.4146 
               F1  0.3929 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:58:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:33 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:34 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.39; User: 9.24; System: 0.40) 
[2020-06-29 05:58:35 FUN] Running grid line #36 of 40... 
[2020-06-29 05:58:35 s.ADDTREE] Hello,  

[2020-06-29 05:58:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 05:58:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14  22
                0  22   5

                   Overall  
      Sensitivity  0.3889 
      Specificity  0.1852 
Balanced Accuracy  0.2870 
              PPV  0.3889 
              NPV  0.1852 
               F1  0.3889 
         Accuracy  0.3016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  2  1

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.3333 
Balanced Accuracy  0.3333 
              PPV  0.3333 
              NPV  0.3333 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 05:58:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:39 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:39 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.41; User: 5.84; System: 0.47) 
[2020-06-29 05:58:39 FUN] Running grid line #37 of 40... 
[2020-06-29 05:58:39 s.ADDTREE] Hello,  

[2020-06-29 05:58:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7  16
                0  28  11

                   Overall  
      Sensitivity  0.2000 
      Specificity  0.4074 
Balanced Accuracy  0.3037 
              PPV  0.3043 
              NPV  0.2821 
               F1  0.2414 
         Accuracy  0.2903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 05:58:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:44 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:44 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.98; User: 6.71; System: 0.31) 
[2020-06-29 05:58:44 FUN] Running grid line #38 of 40... 
[2020-06-29 05:58:44 s.ADDTREE] Hello,  

[2020-06-29 05:58:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   3
                0  31  24

                   Overall  
      Sensitivity  0.1143 
      Specificity  0.8889 
Balanced Accuracy  0.5016 
              PPV  0.5714 
              NPV  0.4364 
               F1  0.1905 
         Accuracy  0.4516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:58:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:50 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:52 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.24; User: 10.89; System: 0.45) 
[2020-06-29 05:58:52 FUN] Running grid line #39 of 40... 
[2020-06-29 05:58:52 s.ADDTREE] Hello,  

[2020-06-29 05:58:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21  17
                0  14  10

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.3704 
Balanced Accuracy  0.4852 
              PPV  0.5526 
              NPV  0.4167 
               F1  0.5753 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  2  0

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.0000 
Balanced Accuracy  0.2500 
              PPV  0.4000 
              NPV  0.0000 
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 05:58:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:58:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:58:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:58:57 s.ADDTREE] Pruning tree... 

[2020-06-29 05:58:57 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.72; User: 7.97; System: 0.44) 
[2020-06-29 05:58:57 FUN] Running grid line #40 of 40... 
[2020-06-29 05:58:58 s.ADDTREE] Hello,  

[2020-06-29 05:58:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:58:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  23
                0  18   4

                   Overall  
      Sensitivity  0.4857 
      Specificity  0.1481 
Balanced Accuracy  0.3169 
              PPV  0.4250 
              NPV  0.1818 
               F1  0.4533 
         Accuracy  0.3387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 05:59:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:59:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:59:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:59:03 s.ADDTREE] Pruning tree... 

[2020-06-29 05:59:04 s.ADDTREE] Run completed in 0.10 minutes (Real: 6; User: 8.74; System: 0.32) 
[2020-06-29 05:59:19 FUN] Running grid line #1 of 40... 
[2020-06-29 05:59:19 s.ADDTREE] Hello,  

[2020-06-29 05:59:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 05:59:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   4  26

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.9630 
Balanced Accuracy  0.9243 
              PPV  0.9688 
              NPV  0.8667 
               F1  0.9254 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 05:59:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:59:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:59:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:59:30 s.ADDTREE] Pruning tree... 

[2020-06-29 05:59:33 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.47; User: 23.75; System: 0.98) 
[2020-06-29 05:59:33 FUN] Running grid line #2 of 40... 
[2020-06-29 05:59:33 s.ADDTREE] Hello,  

[2020-06-29 05:59:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:59:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   8  27

                   Overall  
      Sensitivity  0.7714 
      Specificity  0.9643 
Balanced Accuracy  0.8679 
              PPV  0.9643 
              NPV  0.7714 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:59:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:59:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:59:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:59:42 s.ADDTREE] Pruning tree... 

[2020-06-29 05:59:43 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.83; User: 15.14; System: 0.74) 
[2020-06-29 05:59:43 FUN] Running grid line #3 of 40... 
[2020-06-29 05:59:43 s.ADDTREE] Hello,  

[2020-06-29 05:59:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:59:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   3
                0   4  25

                   Overall  
      Sensitivity  0.8857 
      Specificity  0.8929 
Balanced Accuracy  0.8893 
              PPV  0.9118 
              NPV  0.8621 
               F1  0.8986 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 05:59:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 05:59:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 05:59:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 05:59:54 s.ADDTREE] Pruning tree... 

[2020-06-29 05:59:56 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.71; User: 20.28; System: 0.62) 
[2020-06-29 05:59:56 FUN] Running grid line #4 of 40... 
[2020-06-29 05:59:56 s.ADDTREE] Hello,  

[2020-06-29 05:59:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 05:59:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   7
                0   2  21

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.7500 
Balanced Accuracy  0.8464 
              PPV  0.8250 
              NPV  0.9130 
               F1  0.8800 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:00:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:00:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:00:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:01:14 s.ADDTREE] Pruning tree... 

[2020-06-29 06:01:27 s.ADDTREE] Run completed in 1.51 minutes (Real: 90.35; User: 167.75; System: 5.70) 
[2020-06-29 06:01:27 FUN] Running grid line #5 of 40... 
[2020-06-29 06:01:27 s.ADDTREE] Hello,  

[2020-06-29 06:01:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:01:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   5  27

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9643 
Balanced Accuracy  0.9107 
              PPV  0.9677 
              NPV  0.8438 
               F1  0.9091 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:01:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:01:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:01:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:01:38 s.ADDTREE] Pruning tree... 

[2020-06-29 06:01:41 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.30; User: 23.77; System: 0.95) 
[2020-06-29 06:01:41 FUN] Running grid line #6 of 40... 
[2020-06-29 06:01:41 s.ADDTREE] Hello,  

[2020-06-29 06:01:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:01:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   2
                0   7  26

                   Overall  
      Sensitivity  0.8056 
      Specificity  0.9286 
Balanced Accuracy  0.8671 
              PPV  0.9355 
              NPV  0.7879 
               F1  0.8657 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:01:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:01:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:01:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:01:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:01:52 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.61; User: 17.12; System: 0.82) 
[2020-06-29 06:01:52 FUN] Running grid line #7 of 40... 
[2020-06-29 06:01:52 s.ADDTREE] Hello,  

[2020-06-29 06:01:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:01:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:01:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:01:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:01:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:02:00 s.ADDTREE] Pruning tree... 

[2020-06-29 06:02:02 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.09; User: 15.78; System: 0.71) 
[2020-06-29 06:02:02 FUN] Running grid line #8 of 40... 
[2020-06-29 06:02:02 s.ADDTREE] Hello,  

[2020-06-29 06:02:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:02:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   6
                0   2  22

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.7857 
Balanced Accuracy  0.8643 
              PPV  0.8462 
              NPV  0.9167 
               F1  0.8919 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:02:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:02:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:02:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:02:10 s.ADDTREE] Pruning tree... 

[2020-06-29 06:02:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.78; User: 13.83; System: 0.71) 
[2020-06-29 06:02:11 FUN] Running grid line #9 of 40... 
[2020-06-29 06:02:11 s.ADDTREE] Hello,  

[2020-06-29 06:02:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:02:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   5
                0   3  23

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.8214 
Balanced Accuracy  0.8679 
              PPV  0.8649 
              NPV  0.8846 
               F1  0.8889 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:02:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:02:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:02:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:02:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:02:28 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.40; User: 27.47; System: 1.08) 
[2020-06-29 06:02:28 FUN] Running grid line #10 of 40... 
[2020-06-29 06:02:28 s.ADDTREE] Hello,  

[2020-06-29 06:02:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:02:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   7
                0   3  21

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.7500 
Balanced Accuracy  0.8321 
              PPV  0.8205 
              NPV  0.8750 
               F1  0.8649 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:02:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:02:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:02:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:03:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:03:15 s.ADDTREE] Run completed in 0.78 minutes (Real: 46.53; User: 83.72; System: 2.86) 
[2020-06-29 06:03:15 FUN] Running grid line #11 of 40... 
[2020-06-29 06:03:15 s.ADDTREE] Hello,  

[2020-06-29 06:03:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:03:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   7  26

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9630 
Balanced Accuracy  0.8815 
              PPV  0.9655 
              NPV  0.7879 
               F1  0.8750 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.5000 
Balanced Accuracy  0.6250 
              PPV  0.6000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 06:03:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:03:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:03:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:03:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:03:32 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.51; User: 27.32; System: 0.93) 
[2020-06-29 06:03:32 FUN] Running grid line #12 of 40... 
[2020-06-29 06:03:32 s.ADDTREE] Hello,  

[2020-06-29 06:03:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:03:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   3  27

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9643 
Balanced Accuracy  0.9393 
              PPV  0.9697 
              NPV  0.9000 
               F1  0.9412 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:03:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:03:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:03:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:03:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:03:46 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.70; User: 22.39; System: 0.76) 
[2020-06-29 06:03:46 FUN] Running grid line #13 of 40... 
[2020-06-29 06:03:46 s.ADDTREE] Hello,  

[2020-06-29 06:03:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:03:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   2  25

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.8929 
Balanced Accuracy  0.9179 
              PPV  0.9167 
              NPV  0.9259 
               F1  0.9296 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:03:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:03:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:03:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:03:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:04:02 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.44; User: 27.92; System: 0.84) 
[2020-06-29 06:04:02 FUN] Running grid line #14 of 40... 
[2020-06-29 06:04:02 s.ADDTREE] Hello,  

[2020-06-29 06:04:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:04:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:04:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:04:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:04:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:04:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:04:17 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.02; User: 25.22; System: 1) 
[2020-06-29 06:04:17 FUN] Running grid line #15 of 40... 
[2020-06-29 06:04:17 s.ADDTREE] Hello,  

[2020-06-29 06:04:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:04:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:04:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:04:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:04:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:04:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:04:32 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.92; User: 24.98; System: 0.95) 
[2020-06-29 06:04:32 FUN] Running grid line #16 of 40... 
[2020-06-29 06:04:32 s.ADDTREE] Hello,  

[2020-06-29 06:04:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:04:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   3  26

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9286 
Balanced Accuracy  0.9226 
              PPV  0.9429 
              NPV  0.8966 
               F1  0.9296 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:04:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:04:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:04:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:04:45 s.ADDTREE] Pruning tree... 

[2020-06-29 06:04:49 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.10; User: 27.20; System: 0.94) 
[2020-06-29 06:04:49 FUN] Running grid line #17 of 40... 
[2020-06-29 06:04:49 s.ADDTREE] Hello,  

[2020-06-29 06:04:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:04:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:04:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:04:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:04:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:04:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:05:02 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.21; User: 21.97; System: 0.83) 
[2020-06-29 06:05:02 FUN] Running grid line #18 of 40... 
[2020-06-29 06:05:02 s.ADDTREE] Hello,  

[2020-06-29 06:05:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:05:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:05:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:05:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:05:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:05:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:05:19 s.ADDTREE] Run completed in 0.28 minutes (Real: 17.05; User: 29.06; System: 1.05) 
[2020-06-29 06:05:19 FUN] Running grid line #19 of 40... 
[2020-06-29 06:05:19 s.ADDTREE] Hello,  

[2020-06-29 06:05:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:05:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:05:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:05:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:05:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:05:33 s.ADDTREE] Pruning tree... 

[2020-06-29 06:05:38 s.ADDTREE] Run completed in 0.31 minutes (Real: 18.67; User: 31.50; System: 0.97) 
[2020-06-29 06:05:38 FUN] Running grid line #20 of 40... 
[2020-06-29 06:05:38 s.ADDTREE] Hello,  

[2020-06-29 06:05:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:05:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   0  25

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8929 
Balanced Accuracy  0.9464 
              PPV  0.9211 
              NPV  1.0000 
               F1  0.9589 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:05:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:05:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:05:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:05:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:05:57 s.ADDTREE] Run completed in 0.32 minutes (Real: 19; User: 32.89; System: 1.03) 
[2020-06-29 06:05:57 FUN] Running grid line #21 of 40... 
[2020-06-29 06:05:57 s.ADDTREE] Hello,  

[2020-06-29 06:05:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:05:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  1.0000 
Balanced Accuracy  0.9857 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9855 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:06:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:06:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:06:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:06:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:06:11 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.43; User: 22.73; System: 0.80) 
[2020-06-29 06:06:12 FUN] Running grid line #22 of 40... 
[2020-06-29 06:06:12 s.ADDTREE] Hello,  

[2020-06-29 06:06:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:06:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:06:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:06:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:06:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:06:22 s.ADDTREE] Pruning tree... 

[2020-06-29 06:06:25 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.19; User: 21.82; System: 0.66) 
[2020-06-29 06:06:25 FUN] Running grid line #23 of 40... 
[2020-06-29 06:06:25 s.ADDTREE] Hello,  

[2020-06-29 06:06:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:06:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:06:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:06:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:06:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:06:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:06:40 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.05; User: 24.91; System: 0.89) 
[2020-06-29 06:06:40 FUN] Running grid line #24 of 40... 
[2020-06-29 06:06:40 s.ADDTREE] Hello,  

[2020-06-29 06:06:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:06:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:06:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:06:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:06:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:06:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:06:50 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.49; User: 15.12; System: 0.54) 
[2020-06-29 06:06:50 FUN] Running grid line #25 of 40... 
[2020-06-29 06:06:50 s.ADDTREE] Hello,  

[2020-06-29 06:06:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:06:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:06:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:06:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:06:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:06:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:00 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.86; User: 15.77; System: 0.46) 
[2020-06-29 06:07:00 FUN] Running grid line #26 of 40... 
[2020-06-29 06:07:00 s.ADDTREE] Hello,  

[2020-06-29 06:07:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:07:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   3
                0   1  25

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.8929 
Balanced Accuracy  0.9325 
              PPV  0.9211 
              NPV  0.9615 
               F1  0.9459 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  2  2

                   Overall  
      Sensitivity  0.3333 
      Specificity  0.6667 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:07:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:11 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.06; User: 18.01; System: 0.51) 
[2020-06-29 06:07:11 FUN] Running grid line #27 of 40... 
[2020-06-29 06:07:11 s.ADDTREE] Hello,  

[2020-06-29 06:07:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:07:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:07:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:23 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.65; User: 19.16; System: 0.62) 
[2020-06-29 06:07:23 FUN] Running grid line #28 of 40... 
[2020-06-29 06:07:23 s.ADDTREE] Hello,  

[2020-06-29 06:07:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:07:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:07:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:32 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:35 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.97; User: 19.48; System: 0.69) 
[2020-06-29 06:07:35 FUN] Running grid line #29 of 40... 
[2020-06-29 06:07:35 s.ADDTREE] Hello,  

[2020-06-29 06:07:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:07:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   7  27

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9643 
Balanced Accuracy  0.8821 
              PPV  0.9655 
              NPV  0.7941 
               F1  0.8750 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:07:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:44 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.47; User: 14.31; System: 0.53) 
[2020-06-29 06:07:44 FUN] Running grid line #30 of 40... 
[2020-06-29 06:07:44 s.ADDTREE] Hello,  

[2020-06-29 06:07:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:07:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   5
                0   1  23

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.8214 
Balanced Accuracy  0.8964 
              PPV  0.8718 
              NPV  0.9583 
               F1  0.9189 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:07:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:07:54 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.57; User: 15.06; System: 0.41) 
[2020-06-29 06:07:54 FUN] Running grid line #31 of 40... 
[2020-06-29 06:07:54 s.ADDTREE] Hello,  

[2020-06-29 06:07:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:07:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0  24  23

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.8519 
Balanced Accuracy  0.5831 
              PPV  0.7333 
              NPV  0.4894 
               F1  0.4400 
         Accuracy  0.5484 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:07:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:07:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:07:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:07:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:00 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.23; User: 9.09; System: 0.55) 
[2020-06-29 06:08:00 FUN] Running grid line #32 of 40... 
[2020-06-29 06:08:00 s.ADDTREE] Hello,  

[2020-06-29 06:08:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  14
                0  25  14

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.5000 
Balanced Accuracy  0.3929 
              PPV  0.4167 
              NPV  0.3590 
               F1  0.3390 
         Accuracy  0.3810 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:08:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:08 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.47; User: 11.03; System: 0.56) 
[2020-06-29 06:08:08 FUN] Running grid line #33 of 40... 
[2020-06-29 06:08:08 s.ADDTREE] Hello,  

[2020-06-29 06:08:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  19
                0  23   9

                   Overall  
      Sensitivity  0.3429 
      Specificity  0.3214 
Balanced Accuracy  0.3321 
              PPV  0.3871 
              NPV  0.2812 
               F1  0.3636 
         Accuracy  0.3333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:08:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:16 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.14; User: 10.39; System: 0.45) 
[2020-06-29 06:08:16 FUN] Running grid line #34 of 40... 
[2020-06-29 06:08:16 s.ADDTREE] Hello,  

[2020-06-29 06:08:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0  23  25

                   Overall  
      Sensitivity  0.3429 
      Specificity  0.8929 
Balanced Accuracy  0.6179 
              PPV  0.8000 
              NPV  0.5208 
               F1  0.4800 
         Accuracy  0.5873 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:08:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:22 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.02; User: 8; System: 0.42) 
[2020-06-29 06:08:22 FUN] Running grid line #35 of 40... 
[2020-06-29 06:08:22 s.ADDTREE] Hello,  

[2020-06-29 06:08:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  18  12
                0  17  16

                   Overall  
      Sensitivity  0.5143 
      Specificity  0.5714 
Balanced Accuracy  0.5429 
              PPV  0.6000 
              NPV  0.4848 
               F1  0.5538 
         Accuracy  0.5397 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:08:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:32 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 13.72; System: 0.75) 
[2020-06-29 06:08:32 FUN] Running grid line #36 of 40... 
[2020-06-29 06:08:32 s.ADDTREE] Hello,  

[2020-06-29 06:08:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:08:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   7
                0  28  21

                   Overall  
      Sensitivity  0.2222 
      Specificity  0.7500 
Balanced Accuracy  0.4861 
              PPV  0.5333 
              NPV  0.4286 
               F1  0.3137 
         Accuracy  0.4531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  3  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.5000 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:08:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:41 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.96; User: 13.42; System: 0.40) 
[2020-06-29 06:08:41 FUN] Running grid line #37 of 40... 
[2020-06-29 06:08:41 s.ADDTREE] Hello,  

[2020-06-29 06:08:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  16  19
                0  19   9

                   Overall  
      Sensitivity  0.4571 
      Specificity  0.3214 
Balanced Accuracy  0.3893 
              PPV  0.4571 
              NPV  0.3214 
               F1  0.4571 
         Accuracy  0.3968 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:08:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:50 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.89; User: 13.40; System: 0.71) 
[2020-06-29 06:08:50 FUN] Running grid line #38 of 40... 
[2020-06-29 06:08:50 s.ADDTREE] Hello,  

[2020-06-29 06:08:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  20   7
                0  15  21

                   Overall  
      Sensitivity  0.5714 
      Specificity  0.7500 
Balanced Accuracy  0.6607 
              PPV  0.7407 
              NPV  0.5833 
               F1  0.6452 
         Accuracy  0.6508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:08:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:08:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:08:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:08:55 s.ADDTREE] Pruning tree... 

[2020-06-29 06:08:56 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.15; User: 8.75; System: 0.68) 
[2020-06-29 06:08:56 FUN] Running grid line #39 of 40... 
[2020-06-29 06:08:56 s.ADDTREE] Hello,  

[2020-06-29 06:08:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:08:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   7   8
                0  28  20

                   Overall  
      Sensitivity  0.2000 
      Specificity  0.7143 
Balanced Accuracy  0.4571 
              PPV  0.4667 
              NPV  0.4167 
               F1  0.2800 
         Accuracy  0.4286 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:09:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:09:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:09:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:09:02 s.ADDTREE] Pruning tree... 

[2020-06-29 06:09:03 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.08; User: 10.42; System: 0.47) 
[2020-06-29 06:09:03 FUN] Running grid line #40 of 40... 
[2020-06-29 06:09:03 s.ADDTREE] Hello,  

[2020-06-29 06:09:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:09:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   8
                0  20  20

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.7143 
Balanced Accuracy  0.5714 
              PPV  0.6522 
              NPV  0.5000 
               F1  0.5172 
         Accuracy  0.5556 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:09:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:09:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:09:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:09:10 s.ADDTREE] Pruning tree... 

[2020-06-29 06:09:11 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.30; User: 10.23; System: 0.63) 
[2020-06-29 06:09:19 FUN] Running grid line #1 of 40... 
[2020-06-29 06:09:19 s.ADDTREE] Hello,  

[2020-06-29 06:09:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:09:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   6
                0   1  21

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.7778 
Balanced Accuracy  0.8746 
              PPV  0.8500 
              NPV  0.9545 
               F1  0.9067 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:09:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:09:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:09:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:10:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:10:49 s.ADDTREE] Run completed in 1.49 minutes (Real: 89.67; User: 166.70; System: 5.87) 
[2020-06-29 06:10:49 FUN] Running grid line #2 of 40... 
[2020-06-29 06:10:49 s.ADDTREE] Hello,  

[2020-06-29 06:10:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:10:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   2
                0   3  26

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9286 
Balanced Accuracy  0.9214 
              PPV  0.9412 
              NPV  0.8966 
               F1  0.9275 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:10:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:10:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:10:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:10:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:11:00 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.19; User: 17.92; System: 0.78) 
[2020-06-29 06:11:00 FUN] Running grid line #3 of 40... 
[2020-06-29 06:11:00 s.ADDTREE] Hello,  

[2020-06-29 06:11:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:11:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:11:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:11:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:11:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:11:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:11:13 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.02; User: 21.48; System: 0.85) 
[2020-06-29 06:11:13 FUN] Running grid line #4 of 40... 
[2020-06-29 06:11:13 s.ADDTREE] Hello,  

[2020-06-29 06:11:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:11:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   3  27

                   Overall  
      Sensitivity  0.9143 
      Specificity  0.9643 
Balanced Accuracy  0.9393 
              PPV  0.9697 
              NPV  0.9000 
               F1  0.9412 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:11:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:11:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:11:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:11:22 s.ADDTREE] Pruning tree... 

[2020-06-29 06:11:23 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.12; User: 16.30; System: 0.49) 
[2020-06-29 06:11:24 FUN] Running grid line #5 of 40... 
[2020-06-29 06:11:24 s.ADDTREE] Hello,  

[2020-06-29 06:11:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:11:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   7  27

                   Overall  
      Sensitivity  0.8000 
      Specificity  0.9643 
Balanced Accuracy  0.8821 
              PPV  0.9655 
              NPV  0.7941 
               F1  0.8750 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:11:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:11:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:11:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:11:35 s.ADDTREE] Pruning tree... 

[2020-06-29 06:11:37 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.66; User: 22.86; System: 0.64) 
[2020-06-29 06:11:37 FUN] Running grid line #6 of 40... 
[2020-06-29 06:11:37 s.ADDTREE] Hello,  

[2020-06-29 06:11:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:11:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   2  26

                   Overall  
      Sensitivity  0.9444 
      Specificity  0.9286 
Balanced Accuracy  0.9365 
              PPV  0.9444 
              NPV  0.9286 
               F1  0.9444 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:11:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:11:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:11:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:11:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:11:50 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.53; User: 20.42; System: 0.73) 
[2020-06-29 06:11:50 FUN] Running grid line #7 of 40... 
[2020-06-29 06:11:50 s.ADDTREE] Hello,  

[2020-06-29 06:11:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:11:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   1
                0   8  27

                   Overall  
      Sensitivity  0.7714 
      Specificity  0.9643 
Balanced Accuracy  0.8679 
              PPV  0.9643 
              NPV  0.7714 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:11:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:11:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:11:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:12:01 s.ADDTREE] Pruning tree... 

[2020-06-29 06:12:03 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.14; User: 20.97; System: 0.82) 
[2020-06-29 06:12:03 FUN] Running grid line #8 of 40... 
[2020-06-29 06:12:03 s.ADDTREE] Hello,  

[2020-06-29 06:12:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:12:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   5  26

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9286 
Balanced Accuracy  0.8929 
              PPV  0.9375 
              NPV  0.8387 
               F1  0.8955 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:12:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:12:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:12:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:12:12 s.ADDTREE] Pruning tree... 

[2020-06-29 06:12:14 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.02; User: 18; System: 0.56) 
[2020-06-29 06:12:14 FUN] Running grid line #9 of 40... 
[2020-06-29 06:12:14 s.ADDTREE] Hello,  

[2020-06-29 06:12:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:12:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   7  28

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8889 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:12:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:12:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:12:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:12:24 s.ADDTREE] Pruning tree... 

[2020-06-29 06:12:25 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.96; User: 17.65; System: 0.71) 
[2020-06-29 06:12:25 FUN] Running grid line #10 of 40... 
[2020-06-29 06:12:26 s.ADDTREE] Hello,  

[2020-06-29 06:12:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:12:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   5  28

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.8485 
               F1  0.9231 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:12:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:12:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:12:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:12:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:12:38 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.22; User: 20.04; System: 0.86) 
[2020-06-29 06:12:38 FUN] Running grid line #11 of 40... 
[2020-06-29 06:12:38 s.ADDTREE] Hello,  

[2020-06-29 06:12:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:12:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:12:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:12:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:12:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:12:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:12:53 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.36; User: 26.04; System: 0.64) 
[2020-06-29 06:12:53 FUN] Running grid line #12 of 40... 
[2020-06-29 06:12:53 s.ADDTREE] Hello,  

[2020-06-29 06:12:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:12:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:13:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:13:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:13:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:13:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:13:08 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.73; User: 24.98; System: 0.96) 
[2020-06-29 06:13:08 FUN] Running grid line #13 of 40... 
[2020-06-29 06:13:08 s.ADDTREE] Hello,  

[2020-06-29 06:13:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:13:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:13:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:13:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:13:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:13:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:13:23 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.52; User: 24.50; System: 1.01) 
[2020-06-29 06:13:23 FUN] Running grid line #14 of 40... 
[2020-06-29 06:13:23 s.ADDTREE] Hello,  

[2020-06-29 06:13:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:13:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   1
                0   0  27

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9643 
Balanced Accuracy  0.9821 
              PPV  0.9722 
              NPV  1.0000 
               F1  0.9859 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:13:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:13:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:13:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:13:33 s.ADDTREE] Pruning tree... 

[2020-06-29 06:13:36 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.16; User: 21.14; System: 0.82) 
[2020-06-29 06:13:36 FUN] Running grid line #15 of 40... 
[2020-06-29 06:13:36 s.ADDTREE] Hello,  

[2020-06-29 06:13:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:13:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   0
                0   4  28

                   Overall  
      Sensitivity  0.8857 
      Specificity  1.0000 
Balanced Accuracy  0.9429 
              PPV  1.0000 
              NPV  0.8750 
               F1  0.9394 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:13:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:13:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:13:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:13:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:13:54 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.64; User: 29.96; System: 0.88) 
[2020-06-29 06:13:54 FUN] Running grid line #16 of 40... 
[2020-06-29 06:13:54 s.ADDTREE] Hello,  

[2020-06-29 06:13:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:13:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   1  26

                   Overall  
      Sensitivity  0.9722 
      Specificity  0.9286 
Balanced Accuracy  0.9504 
              PPV  0.9459 
              NPV  0.9630 
               F1  0.9589 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:14:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:14:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:14:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:14:08 s.ADDTREE] Pruning tree... 

[2020-06-29 06:14:11 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.31; User: 29.07; System: 0.99) 
[2020-06-29 06:14:11 FUN] Running grid line #17 of 40... 
[2020-06-29 06:14:11 s.ADDTREE] Hello,  

[2020-06-29 06:14:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:14:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  27

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9643 
Balanced Accuracy  0.9536 
              PPV  0.9706 
              NPV  0.9310 
               F1  0.9565 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:14:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:14:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:14:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:14:23 s.ADDTREE] Pruning tree... 

[2020-06-29 06:14:25 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.88; User: 22.95; System: 0.96) 
[2020-06-29 06:14:25 FUN] Running grid line #18 of 40... 
[2020-06-29 06:14:25 s.ADDTREE] Hello,  

[2020-06-29 06:14:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:14:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   2  28

                   Overall  
      Sensitivity  0.9429 
      Specificity  1.0000 
Balanced Accuracy  0.9714 
              PPV  1.0000 
              NPV  0.9333 
               F1  0.9706 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:14:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:14:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:14:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:14:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:14:40 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.72; User: 24.16; System: 1.06) 
[2020-06-29 06:14:40 FUN] Running grid line #19 of 40... 
[2020-06-29 06:14:40 s.ADDTREE] Hello,  

[2020-06-29 06:14:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:14:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   0
                0   5  28

                   Overall  
      Sensitivity  0.8571 
      Specificity  1.0000 
Balanced Accuracy  0.9286 
              PPV  1.0000 
              NPV  0.8485 
               F1  0.9231 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:14:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:14:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:14:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:14:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:14:55 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.62; User: 24.52; System: 0.68) 
[2020-06-29 06:14:55 FUN] Running grid line #20 of 40... 
[2020-06-29 06:14:55 s.ADDTREE] Hello,  

[2020-06-29 06:14:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:14:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   3  28

                   Overall  
      Sensitivity  0.9143 
      Specificity  1.0000 
Balanced Accuracy  0.9571 
              PPV  1.0000 
              NPV  0.9032 
               F1  0.9552 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:15:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:15:10 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.32; User: 26; System: 0.85) 
[2020-06-29 06:15:10 FUN] Running grid line #21 of 40... 
[2020-06-29 06:15:10 s.ADDTREE] Hello,  

[2020-06-29 06:15:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:15:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9630 
Balanced Accuracy  0.9672 
              PPV  0.9714 
              NPV  0.9630 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7500 
Balanced Accuracy  0.8750 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:15:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:19 s.ADDTREE] Pruning tree... 

[2020-06-29 06:15:22 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.17; User: 18.25; System: 0.67) 
[2020-06-29 06:15:22 FUN] Running grid line #22 of 40... 
[2020-06-29 06:15:22 s.ADDTREE] Hello,  

[2020-06-29 06:15:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:15:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:15:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:15:33 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.90; User: 17.50; System: 0.61) 
[2020-06-29 06:15:33 FUN] Running grid line #23 of 40... 
[2020-06-29 06:15:33 s.ADDTREE] Hello,  

[2020-06-29 06:15:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:15:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   1
                0   6  27

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.9643 
Balanced Accuracy  0.8964 
              PPV  0.9667 
              NPV  0.8182 
               F1  0.8923 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:15:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:40 s.ADDTREE] Pruning tree... 

[2020-06-29 06:15:42 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.16; User: 14.49; System: 0.52) 
[2020-06-29 06:15:42 FUN] Running grid line #24 of 40... 
[2020-06-29 06:15:42 s.ADDTREE] Hello,  

[2020-06-29 06:15:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:15:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  35   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9459 
              NPV  1.0000 
               F1  0.9722 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:15:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:15:52 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.51; User: 14.87; System: 0.79) 
[2020-06-29 06:15:52 FUN] Running grid line #25 of 40... 
[2020-06-29 06:15:52 s.ADDTREE] Hello,  

[2020-06-29 06:15:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:15:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   1  28

                   Overall  
      Sensitivity  0.9714 
      Specificity  1.0000 
Balanced Accuracy  0.9857 
              PPV  1.0000 
              NPV  0.9655 
               F1  0.9855 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  3  1

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.3333 
Balanced Accuracy  0.2917 
              PPV  0.3333 
              NPV  0.2500 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 06:15:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:15:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:15:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:15:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:01 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.47; User: 14.82; System: 0.67) 
[2020-06-29 06:16:01 FUN] Running grid line #26 of 40... 
[2020-06-29 06:16:01 s.ADDTREE] Hello,  

[2020-06-29 06:16:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:16:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  36   2
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9286 
Balanced Accuracy  0.9643 
              PPV  0.9474 
              NPV  1.0000 
               F1  0.9730 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  1  1

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.3333 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:16:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:11 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.89; User: 15.56; System: 0.69) 
[2020-06-29 06:16:11 FUN] Running grid line #27 of 40... 
[2020-06-29 06:16:11 s.ADDTREE] Hello,  

[2020-06-29 06:16:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:16:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  27

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9643 
Balanced Accuracy  0.9679 
              PPV  0.9714 
              NPV  0.9643 
               F1  0.9714 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:16:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:23 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.69; User: 18.89; System: 0.78) 
[2020-06-29 06:16:23 FUN] Running grid line #28 of 40... 
[2020-06-29 06:16:23 s.ADDTREE] Hello,  

[2020-06-29 06:16:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:16:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9286 
Balanced Accuracy  0.9357 
              PPV  0.9429 
              NPV  0.9286 
               F1  0.9429 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:16:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:33 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.96; User: 15.86; System: 0.65) 
[2020-06-29 06:16:33 FUN] Running grid line #29 of 40... 
[2020-06-29 06:16:33 s.ADDTREE] Hello,  

[2020-06-29 06:16:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:16:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   0
                0   7  28

                   Overall  
      Sensitivity  0.8000 
      Specificity  1.0000 
Balanced Accuracy  0.9000 
              PPV  1.0000 
              NPV  0.8000 
               F1  0.8889 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:16:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:40 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:42 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.77; User: 13.80; System: 0.59) 
[2020-06-29 06:16:42 FUN] Running grid line #30 of 40... 
[2020-06-29 06:16:42 s.ADDTREE] Hello,  

[2020-06-29 06:16:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:16:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   0
                0   3  28

                   Overall  
      Sensitivity  0.9143 
      Specificity  1.0000 
Balanced Accuracy  0.9571 
              PPV  1.0000 
              NPV  0.9032 
               F1  0.9552 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:16:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:52 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.55; User: 15.02; System: 0.58) 
[2020-06-29 06:16:52 FUN] Running grid line #31 of 40... 
[2020-06-29 06:16:52 s.ADDTREE] Hello,  

[2020-06-29 06:16:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:16:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  17  17
                0  18  10

                   Overall  
      Sensitivity  0.4857 
      Specificity  0.3704 
Balanced Accuracy  0.4280 
              PPV  0.5000 
              NPV  0.3571 
               F1  0.4928 
         Accuracy  0.4355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.5000 
Balanced Accuracy  0.5000 
              PPV  0.5000 
              NPV  0.5000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:16:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:16:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:16:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:16:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:16:59 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.04; User: 10.69; System: 0.37) 
[2020-06-29 06:16:59 FUN] Running grid line #32 of 40... 
[2020-06-29 06:16:59 s.ADDTREE] Hello,  

[2020-06-29 06:16:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15   7
                0  20  21

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.7500 
Balanced Accuracy  0.5893 
              PPV  0.6818 
              NPV  0.5122 
               F1  0.5263 
         Accuracy  0.5714 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:17:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:06 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.53; User: 9.12; System: 0.34) 
[2020-06-29 06:17:06 FUN] Running grid line #33 of 40... 
[2020-06-29 06:17:06 s.ADDTREE] Hello,  

[2020-06-29 06:17:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0  24  19

                   Overall  
      Sensitivity  0.3143 
      Specificity  0.6786 
Balanced Accuracy  0.4964 
              PPV  0.5500 
              NPV  0.4419 
               F1  0.4000 
         Accuracy  0.4762 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:17:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:12 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:14 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.97; User: 12.21; System: 0.67) 
[2020-06-29 06:17:14 FUN] Running grid line #34 of 40... 
[2020-06-29 06:17:14 s.ADDTREE] Hello,  

[2020-06-29 06:17:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  15  15
                0  20  13

                   Overall  
      Sensitivity  0.4286 
      Specificity  0.4643 
Balanced Accuracy  0.4464 
              PPV  0.5000 
              NPV  0.3939 
               F1  0.4615 
         Accuracy  0.4444 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:17:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:19 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:20 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.86; User: 8.11; System: 0.36) 
[2020-06-29 06:17:20 FUN] Running grid line #35 of 40... 
[2020-06-29 06:17:20 s.ADDTREE] Hello,  

[2020-06-29 06:17:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   4   2
                0  31  26

                   Overall  
      Sensitivity  0.1143 
      Specificity  0.9286 
Balanced Accuracy  0.5214 
              PPV  0.6667 
              NPV  0.4561 
               F1  0.1951 
         Accuracy  0.4762 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:17:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:25 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.18; User: 5.85; System: 0.32) 
[2020-06-29 06:17:25 FUN] Running grid line #36 of 40... 
[2020-06-29 06:17:25 s.ADDTREE] Hello,  

[2020-06-29 06:17:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:17:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  25  16
                0  11  12

                   Overall  
      Sensitivity  0.6944 
      Specificity  0.4286 
Balanced Accuracy  0.5615 
              PPV  0.6098 
              NPV  0.5217 
               F1  0.6494 
         Accuracy  0.5781 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:17:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:33 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.67; User: 11.77; System: 0.52) 
[2020-06-29 06:17:33 FUN] Running grid line #37 of 40... 
[2020-06-29 06:17:33 s.ADDTREE] Hello,  

[2020-06-29 06:17:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  21
                0  25   7

                   Overall  
      Sensitivity  0.2857 
      Specificity  0.2500 
Balanced Accuracy  0.2679 
              PPV  0.3226 
              NPV  0.2188 
               F1  0.3030 
         Accuracy  0.2698 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:17:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:38 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.85; User: 6.14; System: 0.60) 
[2020-06-29 06:17:38 FUN] Running grid line #38 of 40... 
[2020-06-29 06:17:38 s.ADDTREE] Hello,  

[2020-06-29 06:17:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  21   7
                0  14  21

                   Overall  
      Sensitivity  0.6000 
      Specificity  0.7500 
Balanced Accuracy  0.6750 
              PPV  0.7500 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:17:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:44 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:45 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.25; User: 10.84; System: 0.54) 
[2020-06-29 06:17:45 FUN] Running grid line #39 of 40... 
[2020-06-29 06:17:45 s.ADDTREE] Hello,  

[2020-06-29 06:17:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   6
                0  21  22

                   Overall  
      Sensitivity  0.4000 
      Specificity  0.7857 
Balanced Accuracy  0.5929 
              PPV  0.7000 
              NPV  0.5116 
               F1  0.5091 
         Accuracy  0.5714 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:17:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:51 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.70; User: 7.76; System: 0.38) 
[2020-06-29 06:17:51 FUN] Running grid line #40 of 40... 
[2020-06-29 06:17:51 s.ADDTREE] Hello,  

[2020-06-29 06:17:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:17:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   0
                0  34  28

                   Overall  
      Sensitivity  0.0286 
      Specificity  1.0000 
Balanced Accuracy  0.5143 
              PPV  1.0000 
              NPV  0.4516 
               F1  0.0556 
         Accuracy  0.4603 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:17:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:17:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:17:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:17:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:17:58 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.50; User: 9.20; System: 0.42) 
[2020-06-29 06:18:09 FUN] Running grid line #1 of 40... 
[2020-06-29 06:18:09 s.ADDTREE] Hello,  

[2020-06-29 06:18:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:18:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   3
                0   1  24

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.8889 
Balanced Accuracy  0.9297 
              PPV  0.9167 
              NPV  0.9600 
               F1  0.9429 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:18:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:18:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:18:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:18:19 s.ADDTREE] Pruning tree... 

[2020-06-29 06:18:21 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.36; User: 18.05; System: 0.71) 
[2020-06-29 06:18:21 FUN] Running grid line #2 of 40... 
[2020-06-29 06:18:21 s.ADDTREE] Hello,  

[2020-06-29 06:18:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:18:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   5
                0   3  22

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.8148 
Balanced Accuracy  0.8633 
              PPV  0.8611 
              NPV  0.8800 
               F1  0.8857 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  2
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:18:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:18:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:18:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:18:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:18:32 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.70; User: 16.81; System: 0.59) 
[2020-06-29 06:18:32 FUN] Running grid line #3 of 40... 
[2020-06-29 06:18:32 s.ADDTREE] Hello,  

[2020-06-29 06:18:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:18:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  28   1
                0   6  26

                   Overall  
      Sensitivity  0.8235 
      Specificity  0.9630 
Balanced Accuracy  0.8932 
              PPV  0.9655 
              NPV  0.8125 
               F1  0.8889 
         Accuracy  0.8852 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:18:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:18:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:18:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:18:41 s.ADDTREE] Pruning tree... 

[2020-06-29 06:18:43 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.95; User: 17.84; System: 0.53) 
[2020-06-29 06:18:43 FUN] Running grid line #4 of 40... 
[2020-06-29 06:18:43 s.ADDTREE] Hello,  

[2020-06-29 06:18:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:18:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   5  26

                   Overall  
      Sensitivity  0.8571 
      Specificity  0.9630 
Balanced Accuracy  0.9101 
              PPV  0.9677 
              NPV  0.8387 
               F1  0.9091 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:18:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:18:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:18:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:18:54 s.ADDTREE] Pruning tree... 

[2020-06-29 06:18:56 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.80; User: 21.02; System: 0.94) 
[2020-06-29 06:18:56 FUN] Running grid line #5 of 40... 
[2020-06-29 06:18:56 s.ADDTREE] Hello,  

[2020-06-29 06:18:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:18:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   3
                0   5  24

                   Overall  
      Sensitivity  0.8529 
      Specificity  0.8889 
Balanced Accuracy  0.8709 
              PPV  0.9062 
              NPV  0.8276 
               F1  0.8788 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  2
                0  1  1

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.3333 
Balanced Accuracy  0.5417 
              PPV  0.6000 
              NPV  0.5000 
               F1  0.6667 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:19:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:19:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:19:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:19:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:19:08 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.78; User: 18.96; System: 0.85) 
[2020-06-29 06:19:08 FUN] Running grid line #6 of 40... 
[2020-06-29 06:19:08 s.ADDTREE] Hello,  

[2020-06-29 06:19:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:19:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9630 
Balanced Accuracy  0.9227 
              PPV  0.9677 
              NPV  0.8667 
               F1  0.9231 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:19:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:19:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:19:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:19:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:19:18 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.28; User: 16.06; System: 0.75) 
[2020-06-29 06:19:18 FUN] Running grid line #7 of 40... 
[2020-06-29 06:19:18 s.ADDTREE] Hello,  

[2020-06-29 06:19:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:19:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   6  21

                   Overall  
      Sensitivity  0.8286 
      Specificity  0.7778 
Balanced Accuracy  0.8032 
              PPV  0.8286 
              NPV  0.7778 
               F1  0.8286 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  1  2

                   Overall  
      Sensitivity  0.6667 
      Specificity  0.6667 
Balanced Accuracy  0.6667 
              PPV  0.6667 
              NPV  0.6667 
               F1  0.6667 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:19:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:19:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:19:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:19:27 s.ADDTREE] Pruning tree... 

[2020-06-29 06:19:28 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.36; User: 15.92; System: 0.70) 
[2020-06-29 06:19:29 FUN] Running grid line #8 of 40... 
[2020-06-29 06:19:29 s.ADDTREE] Hello,  

[2020-06-29 06:19:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:19:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  29   6
                0   5  21

                   Overall  
      Sensitivity  0.8529 
      Specificity  0.7778 
Balanced Accuracy  0.8154 
              PPV  0.8286 
              NPV  0.8077 
               F1  0.8406 
         Accuracy  0.8197 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:19:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:19:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:19:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:19:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:19:38 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.56; User: 14.58; System: 0.64) 
[2020-06-29 06:19:38 FUN] Running grid line #9 of 40... 
[2020-06-29 06:19:38 s.ADDTREE] Hello,  

[2020-06-29 06:19:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:19:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   1
                0   4  26

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9630 
Balanced Accuracy  0.9227 
              PPV  0.9677 
              NPV  0.8667 
               F1  0.9231 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:19:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:19:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:19:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:19:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:19:53 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.19; User: 24.61; System: 1) 
[2020-06-29 06:19:54 FUN] Running grid line #10 of 40... 
[2020-06-29 06:19:54 s.ADDTREE] Hello,  

[2020-06-29 06:19:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:19:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  27   0
                0   7  27

                   Overall  
      Sensitivity  0.7941 
      Specificity  1.0000 
Balanced Accuracy  0.8971 
              PPV  1.0000 
              NPV  0.7941 
               F1  0.8852 
         Accuracy  0.8852 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:19:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:20:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:20:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:20:03 s.ADDTREE] Pruning tree... 

[2020-06-29 06:20:05 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.20; User: 17.60; System: 0.76) 
[2020-06-29 06:20:05 FUN] Running grid line #11 of 40... 
[2020-06-29 06:20:05 s.ADDTREE] Hello,  

[2020-06-29 06:20:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:20:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9630 
Balanced Accuracy  0.9521 
              PPV  0.9697 
              NPV  0.9286 
               F1  0.9552 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  1  2

                   Overall  
      Sensitivity  0.7500 
      Specificity  0.6667 
Balanced Accuracy  0.7083 
              PPV  0.7500 
              NPV  0.6667 
               F1  0.7500 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:20:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:20:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:20:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:20:17 s.ADDTREE] Pruning tree... 

[2020-06-29 06:20:20 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.01; User: 24.93; System: 0.89) 
[2020-06-29 06:20:20 FUN] Running grid line #12 of 40... 
[2020-06-29 06:20:20 s.ADDTREE] Hello,  

[2020-06-29 06:20:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:20:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  26

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9630 
Balanced Accuracy  0.9668 
              PPV  0.9706 
              NPV  0.9630 
               F1  0.9706 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:20:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:20:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:20:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:20:33 s.ADDTREE] Pruning tree... 

[2020-06-29 06:20:37 s.ADDTREE] Run completed in 0.29 minutes (Real: 17.34; User: 28.59; System: 0.75) 
[2020-06-29 06:20:37 FUN] Running grid line #13 of 40... 
[2020-06-29 06:20:38 s.ADDTREE] Hello,  

[2020-06-29 06:20:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:20:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9630 
Balanced Accuracy  0.9521 
              PPV  0.9697 
              NPV  0.9286 
               F1  0.9552 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:20:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:20:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:20:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:20:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:20:53 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.78; User: 25.83; System: 0.67) 
[2020-06-29 06:20:53 FUN] Running grid line #14 of 40... 
[2020-06-29 06:20:53 s.ADDTREE] Hello,  

[2020-06-29 06:20:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:20:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   2  26

                   Overall  
      Sensitivity  0.9429 
      Specificity  0.9630 
Balanced Accuracy  0.9529 
              PPV  0.9706 
              NPV  0.9286 
               F1  0.9565 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:21:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:21:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:21:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:21:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:21:10 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.97; User: 28.40; System: 1.19) 
[2020-06-29 06:21:11 FUN] Running grid line #15 of 40... 
[2020-06-29 06:21:11 s.ADDTREE] Hello,  

[2020-06-29 06:21:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:21:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  26

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9630 
Balanced Accuracy  0.9668 
              PPV  0.9706 
              NPV  0.9630 
               F1  0.9706 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  2  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.3333 
Balanced Accuracy  0.4167 
              PPV  0.5000 
              NPV  0.3333 
               F1  0.5000 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:21:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:21:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:21:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:21:24 s.ADDTREE] Pruning tree... 

[2020-06-29 06:21:28 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.94; User: 28.72; System: 0.98) 
[2020-06-29 06:21:28 FUN] Running grid line #16 of 40... 
[2020-06-29 06:21:28 s.ADDTREE] Hello,  

[2020-06-29 06:21:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:21:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  32   1
                0   2  26

                   Overall  
      Sensitivity  0.9412 
      Specificity  0.9630 
Balanced Accuracy  0.9521 
              PPV  0.9697 
              NPV  0.9286 
               F1  0.9552 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:21:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:21:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:21:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:21:41 s.ADDTREE] Pruning tree... 

[2020-06-29 06:21:44 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.49; User: 27.25; System: 0.86) 
[2020-06-29 06:21:44 FUN] Running grid line #17 of 40... 
[2020-06-29 06:21:44 s.ADDTREE] Hello,  

[2020-06-29 06:21:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:21:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:21:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:21:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:21:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:21:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:22:00 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.45; User: 26.03; System: 0.84) 
[2020-06-29 06:22:00 FUN] Running grid line #18 of 40... 
[2020-06-29 06:22:00 s.ADDTREE] Hello,  

[2020-06-29 06:22:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:22:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  30   2
                0   4  25

                   Overall  
      Sensitivity  0.8824 
      Specificity  0.9259 
Balanced Accuracy  0.9041 
              PPV  0.9375 
              NPV  0.8621 
               F1  0.9091 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:22:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:22:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:22:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:22:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:22:14 s.ADDTREE] Run completed in 0.23 minutes (Real: 14.05; User: 23.89; System: 0.81) 
[2020-06-29 06:22:14 FUN] Running grid line #19 of 40... 
[2020-06-29 06:22:14 s.ADDTREE] Hello,  

[2020-06-29 06:22:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:22:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   2
                0   1  25

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9259 
Balanced Accuracy  0.9483 
              PPV  0.9429 
              NPV  0.9615 
               F1  0.9565 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:22:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:22:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:22:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:22:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:22:32 s.ADDTREE] Run completed in 0.30 minutes (Real: 17.89; User: 30.37; System: 1.07) 
[2020-06-29 06:22:32 FUN] Running grid line #20 of 40... 
[2020-06-29 06:22:32 s.ADDTREE] Hello,  

[2020-06-29 06:22:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:22:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:22:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:22:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:22:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:22:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:22:46 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.47; User: 22.43; System: 0.84) 
[2020-06-29 06:22:46 FUN] Running grid line #21 of 40... 
[2020-06-29 06:22:46 s.ADDTREE] Hello,  

[2020-06-29 06:22:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:22:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:22:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:22:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:22:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:22:55 s.ADDTREE] Pruning tree... 

[2020-06-29 06:22:57 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.45; User: 18.72; System: 0.67) 
[2020-06-29 06:22:57 FUN] Running grid line #22 of 40... 
[2020-06-29 06:22:57 s.ADDTREE] Hello,  

[2020-06-29 06:22:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:22:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:23:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:23:09 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.60; User: 16.94; System: 0.50) 
[2020-06-29 06:23:09 FUN] Running grid line #23 of 40... 
[2020-06-29 06:23:09 s.ADDTREE] Hello,  

[2020-06-29 06:23:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:23:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   0  26

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9630 
Balanced Accuracy  0.9815 
              PPV  0.9714 
              NPV  1.0000 
               F1  0.9855 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  2  3

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.6667 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:23:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:23:20 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.53; User: 17.09; System: 0.62) 
[2020-06-29 06:23:20 FUN] Running grid line #24 of 40... 
[2020-06-29 06:23:20 s.ADDTREE] Hello,  

[2020-06-29 06:23:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:23:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   1
                0   1  26

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9630 
Balanced Accuracy  0.9672 
              PPV  0.9714 
              NPV  0.9630 
               F1  0.9714 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:23:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:23:31 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.25; User: 18.23; System: 0.72) 
[2020-06-29 06:23:31 FUN] Running grid line #25 of 40... 
[2020-06-29 06:23:31 s.ADDTREE] Hello,  

[2020-06-29 06:23:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:23:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  31   1
                0   3  26

                   Overall  
      Sensitivity  0.9118 
      Specificity  0.9630 
Balanced Accuracy  0.9374 
              PPV  0.9688 
              NPV  0.8966 
               F1  0.9394 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:23:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:40 s.ADDTREE] Pruning tree... 

[2020-06-29 06:23:42 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.76; User: 17.19; System: 0.68) 
[2020-06-29 06:23:42 FUN] Running grid line #26 of 40... 
[2020-06-29 06:23:42 s.ADDTREE] Hello,  

[2020-06-29 06:23:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:23:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:23:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:23:51 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.49; User: 15.13; System: 0.53) 
[2020-06-29 06:23:52 FUN] Running grid line #27 of 40... 
[2020-06-29 06:23:52 s.ADDTREE] Hello,  

[2020-06-29 06:23:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:23:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   2
                0   1  25

                   Overall  
      Sensitivity  0.9714 
      Specificity  0.9259 
Balanced Accuracy  0.9487 
              PPV  0.9444 
              NPV  0.9615 
               F1  0.9577 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  1
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:23:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:23:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:23:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:23:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:00 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.19; User: 11.98; System: 0.71) 
[2020-06-29 06:24:00 FUN] Running grid line #28 of 40... 
[2020-06-29 06:24:00 s.ADDTREE] Hello,  

[2020-06-29 06:24:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  34   0
                0   0  27

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  3  0
                0  1  3

                   Overall  
      Sensitivity  0.7500 
      Specificity  1.0000 
Balanced Accuracy  0.8750 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8571 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:24:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:11 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.42; User: 17.08; System: 0.81) 
[2020-06-29 06:24:11 FUN] Running grid line #29 of 40... 
[2020-06-29 06:24:12 s.ADDTREE] Hello,  

[2020-06-29 06:24:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   1
                0   1  26

                   Overall  
      Sensitivity  0.9706 
      Specificity  0.9630 
Balanced Accuracy  0.9668 
              PPV  0.9706 
              NPV  0.9630 
               F1  0.9706 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  4  0
                0  0  3

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:24:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:22 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.82; User: 17.46; System: 0.75) 
[2020-06-29 06:24:22 FUN] Running grid line #30 of 40... 
[2020-06-29 06:24:22 s.ADDTREE] Hello,  

[2020-06-29 06:24:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  33   0
                0   1  27

                   Overall  
      Sensitivity  0.9706 
      Specificity  1.0000 
Balanced Accuracy  0.9853 
              PPV  1.0000 
              NPV  0.9643 
               F1  0.9851 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:24:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:31 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.60; User: 13.53; System: 0.57) 
[2020-06-29 06:24:31 FUN] Running grid line #31 of 40... 
[2020-06-29 06:24:31 s.ADDTREE] Hello,  

[2020-06-29 06:24:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  23   6
                0  11  21

                   Overall  
      Sensitivity  0.6765 
      Specificity  0.7778 
Balanced Accuracy  0.7271 
              PPV  0.7931 
              NPV  0.6562 
               F1  0.7302 
         Accuracy  0.7213 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:24:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:37 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.83; User: 8.22; System: 0.34) 
[2020-06-29 06:24:37 FUN] Running grid line #32 of 40... 
[2020-06-29 06:24:37 s.ADDTREE] Hello,  

[2020-06-29 06:24:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  14   5
                0  20  22

                   Overall  
      Sensitivity  0.4118 
      Specificity  0.8148 
Balanced Accuracy  0.6133 
              PPV  0.7368 
              NPV  0.5238 
               F1  0.5283 
         Accuracy  0.5902 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  2  2

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.6667 
              NPV  0.5000 
               F1  0.5714 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:24:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:44 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.79; User: 10.08; System: 0.53) 
[2020-06-29 06:24:44 FUN] Running grid line #33 of 40... 
[2020-06-29 06:24:44 s.ADDTREE] Hello,  

[2020-06-29 06:24:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13  15
                0  21  12

                   Overall  
      Sensitivity  0.3824 
      Specificity  0.4444 
Balanced Accuracy  0.4134 
              PPV  0.4643 
              NPV  0.3636 
               F1  0.4194 
         Accuracy  0.4098 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  3  2

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.6667 
Balanced Accuracy  0.4583 
              PPV  0.5000 
              NPV  0.4000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:24:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:51 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.02; User: 10.17; System: 0.56) 
[2020-06-29 06:24:51 FUN] Running grid line #34 of 40... 
[2020-06-29 06:24:51 s.ADDTREE] Hello,  

[2020-06-29 06:24:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:24:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  19   5
                0  16  22

                   Overall  
      Sensitivity  0.5429 
      Specificity  0.8148 
Balanced Accuracy  0.6788 
              PPV  0.7917 
              NPV  0.5789 
               F1  0.6441 
         Accuracy  0.6613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  1  3

                   Overall  
      Sensitivity  0.6667 
      Specificity  1.0000 
Balanced Accuracy  0.8333 
              PPV  1.0000 
              NPV  0.7500 
               F1  0.8000 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:24:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:24:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:24:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:24:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:24:58 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.32; User: 8.93; System: 0.36) 
[2020-06-29 06:24:58 FUN] Running grid line #35 of 40... 
[2020-06-29 06:24:58 s.ADDTREE] Hello,  

[2020-06-29 06:24:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:24:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1   2
                0  33  25

                   Overall  
      Sensitivity  0.0294 
      Specificity  0.9259 
Balanced Accuracy  0.4777 
              PPV  0.3333 
              NPV  0.4310 
               F1  0.0541 
         Accuracy  0.4262 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:25:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:04 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:05 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.20; User: 10.72; System: 0.56) 
[2020-06-29 06:25:05 FUN] Running grid line #36 of 40... 
[2020-06-29 06:25:05 s.ADDTREE] Hello,  

[2020-06-29 06:25:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:25:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  13   8
                0  21  19

                   Overall  
      Sensitivity  0.3824 
      Specificity  0.7037 
Balanced Accuracy  0.5430 
              PPV  0.6190 
              NPV  0.4750 
               F1  0.4727 
         Accuracy  0.5246 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:25:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:12 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.34; User: 11.10; System: 0.56) 
[2020-06-29 06:25:12 FUN] Running grid line #37 of 40... 
[2020-06-29 06:25:12 s.ADDTREE] Hello,  

[2020-06-29 06:25:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:25:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   8   4
                0  27  23

                   Overall  
      Sensitivity  0.2286 
      Specificity  0.8519 
Balanced Accuracy  0.5402 
              PPV  0.6667 
              NPV  0.4600 
               F1  0.3404 
         Accuracy  0.5000 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  2  3

                   Overall  
      Sensitivity  0.3333 
      Specificity  1.0000 
Balanced Accuracy  0.6667 
              PPV  1.0000 
              NPV  0.6000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:25:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:19 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.69; User: 9.45; System: 0.56) 
[2020-06-29 06:25:19 FUN] Running grid line #38 of 40... 
[2020-06-29 06:25:19 s.ADDTREE] Hello,  

[2020-06-29 06:25:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:25:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   3   4
                0  31  23

                   Overall  
      Sensitivity  0.0882 
      Specificity  0.8519 
Balanced Accuracy  0.4700 
              PPV  0.4286 
              NPV  0.4259 
               F1  0.1463 
         Accuracy  0.4262 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  3  3

                   Overall  
      Sensitivity  0.2500 
      Specificity  1.0000 
Balanced Accuracy  0.6250 
              PPV  1.0000 
              NPV  0.5000 
               F1  0.4000 
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:25:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:24 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:25 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.79; User: 8.01; System: 0.48) 
[2020-06-29 06:25:25 FUN] Running grid line #39 of 40... 
[2020-06-29 06:25:25 s.ADDTREE] Hello,  

[2020-06-29 06:25:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:25:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   6   5
                0  28  22

                   Overall  
      Sensitivity  0.1765 
      Specificity  0.8148 
Balanced Accuracy  0.4956 
              PPV  0.5455 
              NPV  0.4400 
               F1  0.2667 
         Accuracy  0.4590 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  4  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.2000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:25:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:32 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.62; User: 9.47; System: 0.47) 
[2020-06-29 06:25:32 FUN] Running grid line #40 of 40... 
[2020-06-29 06:25:32 s.ADDTREE] Hello,  

[2020-06-29 06:25:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:25:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   0   0
                0  34  27

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4426 
               F1  NA     
         Accuracy  0.4426 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  4  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.4286 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:25:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:25:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:25:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:25:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:25:36 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.11; User: 5.10; System: 0.31) 


[[ elevate ADDTREE ]]
   N repeats = 1 
   N resamples = 10 
   Resampler = kfold 
   Balanced Accuracy of 10 aggregated test sets in each repeat = 0.80

[2020-06-29 06:25:46 elevate] Run completed in 82.19 minutes (Real: 4931.11; User: 8049.08; System: 292.04) 

saveRDS(cases.op.tree, "cases-op-tree.rds")

cases.law.tree <- elevate(cases.law, mod = "addtree",
                           resampler = "kfold", n.resamples = 10,
                           grid.resample.rtset = rtset.resample("kfold", 10),
                           gamma = c(0.1, 0.5, 0.9, 1.3),
                           learning.rate = 0.001,
                           seed = 2020)

[2020-06-29 06:26:08 elevate] Hello,  

[[ Classification Input Summary ]]
   Training features: 77 x 39 
    Training outcome: 77 x 1 

[2020-06-29 06:26:08 resLearn] Training Additive Tree on 10 independent folds... 

  |                                                  | 0 % ~calculating  [2020-06-29 06:26:08 FUN] Running grid line #1 of 40... 
[2020-06-29 06:26:08 s.ADDTREE] Hello,  

[2020-06-29 06:26:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:26:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   8
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8400 
Balanced Accuracy  0.9200 
              PPV  0.5556 
              NPV  1.0000 
               F1  0.7143 
         Accuracy  0.8667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:26:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:26:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:26:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:26:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:26:17 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.22; User: 13.34; System: 0.56) 
[2020-06-29 06:26:17 FUN] Running grid line #2 of 40... 
[2020-06-29 06:26:17 s.ADDTREE] Hello,  

[2020-06-29 06:26:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:26:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   6
                0   1  44

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.8800 
Balanced Accuracy  0.8945 
              PPV  0.6250 
              NPV  0.9778 
               F1  0.7407 
         Accuracy  0.8852 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:26:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:26:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:26:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:26:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:26:31 s.ADDTREE] Run completed in 0.23 minutes (Real: 14.01; User: 23.30; System: 0.83) 
[2020-06-29 06:26:31 FUN] Running grid line #3 of 40... 
[2020-06-29 06:26:32 s.ADDTREE] Hello,  

[2020-06-29 06:26:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:26:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   7
                0   1  44

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.8627 
Balanced Accuracy  0.8859 
              PPV  0.5882 
              NPV  0.9778 
               F1  0.7143 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:26:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:26:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:26:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:26:42 s.ADDTREE] Pruning tree... 

[2020-06-29 06:26:44 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.83; User: 21.13; System: 0.67) 
[2020-06-29 06:26:44 FUN] Running grid line #4 of 40... 
[2020-06-29 06:26:44 s.ADDTREE] Hello,  

[2020-06-29 06:26:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:26:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9000 
Balanced Accuracy  0.9500 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:26:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:26:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:26:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:26:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:26:54 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.65; User: 15.24; System: 0.71) 
[2020-06-29 06:26:54 FUN] Running grid line #5 of 40... 
[2020-06-29 06:26:54 s.ADDTREE] Hello,  

[2020-06-29 06:26:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:26:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   1  47

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9216 
Balanced Accuracy  0.9153 
              PPV  0.7143 
              NPV  0.9792 
               F1  0.8000 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:27:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:27:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:27:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:27:04 s.ADDTREE] Pruning tree... 

[2020-06-29 06:27:06 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.76; User: 18.56; System: 0.67) 
[2020-06-29 06:27:06 FUN] Running grid line #6 of 40... 
[2020-06-29 06:27:06 s.ADDTREE] Hello,  

[2020-06-29 06:27:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:27:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   1  47

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9400 
Balanced Accuracy  0.9245 
              PPV  0.7692 
              NPV  0.9792 
               F1  0.8333 
         Accuracy  0.9344 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:27:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:27:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:27:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:27:13 s.ADDTREE] Pruning tree... 

[2020-06-29 06:27:14 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.14; User: 12.46; System: 0.50) 
[2020-06-29 06:27:14 FUN] Running grid line #7 of 40... 
[2020-06-29 06:27:14 s.ADDTREE] Hello,  

[2020-06-29 06:27:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:27:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   1  47

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9216 
Balanced Accuracy  0.9153 
              PPV  0.7143 
              NPV  0.9792 
               F1  0.8000 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:27:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:27:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:27:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:27:27 s.ADDTREE] Pruning tree... 

[2020-06-29 06:27:29 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.67; User: 24.56; System: 0.86) 
[2020-06-29 06:27:29 FUN] Running grid line #8 of 40... 
[2020-06-29 06:27:29 s.ADDTREE] Hello,  

[2020-06-29 06:27:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:27:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  10
                0   0  40

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5238 
              NPV  1.0000 
               F1  0.6875 
         Accuracy  0.8361 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:27:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:27:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:27:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:27:41 s.ADDTREE] Pruning tree... 

[2020-06-29 06:27:43 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.61; User: 22.43; System: 0.98) 
[2020-06-29 06:27:43 FUN] Running grid line #9 of 40... 
[2020-06-29 06:27:43 s.ADDTREE] Hello,  

[2020-06-29 06:27:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:27:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6471 
              NPV  1.0000 
               F1  0.7857 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:27:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:27:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:27:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:27:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:27:53 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.14; User: 15.75; System: 0.81) 
[2020-06-29 06:27:53 FUN] Running grid line #10 of 40... 
[2020-06-29 06:27:53 s.ADDTREE] Hello,  

[2020-06-29 06:27:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:27:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   5
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9000 
Balanced Accuracy  0.9500 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9167 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:27:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:28:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:28:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:28:03 s.ADDTREE] Pruning tree... 

[2020-06-29 06:28:05 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.14; User: 19.69; System: 0.61) 
[2020-06-29 06:28:05 FUN] Running grid line #11 of 40... 
[2020-06-29 06:28:06 s.ADDTREE] Hello,  

[2020-06-29 06:28:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:28:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0   0  50

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:28:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:28:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:28:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:28:14 s.ADDTREE] Pruning tree... 

[2020-06-29 06:28:16 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.23; User: 16; System: 0.70) 
[2020-06-29 06:28:16 FUN] Running grid line #12 of 40... 
[2020-06-29 06:28:16 s.ADDTREE] Hello,  

[2020-06-29 06:28:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:28:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:28:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:28:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:28:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:28:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:28:31 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.38; User: 24.85; System: 0.94) 
[2020-06-29 06:28:31 FUN] Running grid line #13 of 40... 
[2020-06-29 06:28:31 s.ADDTREE] Hello,  

[2020-06-29 06:28:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:28:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0   1  51

                   Overall  
      Sensitivity  0.9091 
      Specificity  1.0000 
Balanced Accuracy  0.9545 
              PPV  1.0000 
              NPV  0.9808 
               F1  0.9524 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8000 
Balanced Accuracy  0.4000 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:28:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:28:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:28:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:28:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:28:45 s.ADDTREE] Run completed in 0.23 minutes (Real: 14.08; User: 23.03; System: 0.68) 
[2020-06-29 06:28:46 FUN] Running grid line #14 of 40... 
[2020-06-29 06:28:46 s.ADDTREE] Hello,  

[2020-06-29 06:28:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:28:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:28:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:28:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:28:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:28:54 s.ADDTREE] Pruning tree... 

[2020-06-29 06:28:55 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.67; User: 15.50; System: 0.61) 
[2020-06-29 06:28:55 FUN] Running grid line #15 of 40... 
[2020-06-29 06:28:55 s.ADDTREE] Hello,  

[2020-06-29 06:28:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:28:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:29:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:29:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:29:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:29:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:29:10 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.71; User: 24.86; System: 0.67) 
[2020-06-29 06:29:10 FUN] Running grid line #16 of 40... 
[2020-06-29 06:29:10 s.ADDTREE] Hello,  

[2020-06-29 06:29:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:29:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   1  49

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9800 
Balanced Accuracy  0.9445 
              PPV  0.9091 
              NPV  0.9800 
               F1  0.9091 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:29:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:29:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:29:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:29:19 s.ADDTREE] Pruning tree... 

[2020-06-29 06:29:21 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.31; User: 16.11; System: 0.70) 
[2020-06-29 06:29:21 FUN] Running grid line #17 of 40... 
[2020-06-29 06:29:21 s.ADDTREE] Hello,  

[2020-06-29 06:29:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:29:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:29:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:29:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:29:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:29:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:29:33 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.27; User: 19.62; System: 0.72) 
[2020-06-29 06:29:33 FUN] Running grid line #18 of 40... 
[2020-06-29 06:29:33 s.ADDTREE] Hello,  

[2020-06-29 06:29:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:29:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:29:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:29:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:29:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:29:45 s.ADDTREE] Pruning tree... 

[2020-06-29 06:29:48 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.75; User: 24.79; System: 0.96) 
[2020-06-29 06:29:48 FUN] Running grid line #19 of 40... 
[2020-06-29 06:29:48 s.ADDTREE] Hello,  

[2020-06-29 06:29:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:29:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:29:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:29:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:29:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:29:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:00 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.14; User: 20.03; System: 0.59) 
[2020-06-29 06:30:00 FUN] Running grid line #20 of 40... 
[2020-06-29 06:30:00 s.ADDTREE] Hello,  

[2020-06-29 06:30:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:30:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7692 
              NPV  1.0000 
               F1  0.8696 
         Accuracy  0.9500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:30:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:14 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.22; User: 22; System: 0.78) 
[2020-06-29 06:30:14 FUN] Running grid line #21 of 40... 
[2020-06-29 06:30:14 s.ADDTREE] Hello,  

[2020-06-29 06:30:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:30:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   0
                0   0  50

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:30:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:21 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.18; User: 10.56; System: 0.55) 
[2020-06-29 06:30:21 FUN] Running grid line #22 of 40... 
[2020-06-29 06:30:21 s.ADDTREE] Hello,  

[2020-06-29 06:30:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:30:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:30:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:29 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.49; User: 13.05; System: 0.49) 
[2020-06-29 06:30:30 FUN] Running grid line #23 of 40... 
[2020-06-29 06:30:30 s.ADDTREE] Hello,  

[2020-06-29 06:30:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:30:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8000 
Balanced Accuracy  0.4000 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:30:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:38 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.53; User: 12.74; System: 0.67) 
[2020-06-29 06:30:38 FUN] Running grid line #24 of 40... 
[2020-06-29 06:30:38 s.ADDTREE] Hello,  

[2020-06-29 06:30:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:30:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:30:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:44 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.75; User: 8.27; System: 0.25) 
[2020-06-29 06:30:44 FUN] Running grid line #25 of 40... 
[2020-06-29 06:30:44 s.ADDTREE] Hello,  

[2020-06-29 06:30:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:30:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:30:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:30:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:30:53 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.86; User: 13.83; System: 0.55) 
[2020-06-29 06:30:53 FUN] Running grid line #26 of 40... 
[2020-06-29 06:30:53 s.ADDTREE] Hello,  

[2020-06-29 06:30:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:30:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:30:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:30:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:30:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:00 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:02 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.64; User: 13.59; System: 0.52) 
[2020-06-29 06:31:02 FUN] Running grid line #27 of 40... 
[2020-06-29 06:31:02 s.ADDTREE] Hello,  

[2020-06-29 06:31:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:31:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:31:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:08 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:10 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.67; User: 11.87; System: 0.55) 
[2020-06-29 06:31:10 FUN] Running grid line #28 of 40... 
[2020-06-29 06:31:10 s.ADDTREE] Hello,  

[2020-06-29 06:31:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:31:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:31:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:17 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:19 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.17; User: 14.22; System: 0.67) 
[2020-06-29 06:31:19 FUN] Running grid line #29 of 40... 
[2020-06-29 06:31:19 s.ADDTREE] Hello,  

[2020-06-29 06:31:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:31:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:31:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:26 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:27 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 11.33; System: 0.58) 
[2020-06-29 06:31:27 FUN] Running grid line #30 of 40... 
[2020-06-29 06:31:27 s.ADDTREE] Hello,  

[2020-06-29 06:31:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:31:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7692 
              NPV  1.0000 
               F1  0.8696 
         Accuracy  0.9500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:31:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:34 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:35 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.15; User: 12.01; System: 0.51) 
[2020-06-29 06:31:35 FUN] Running grid line #31 of 40... 
[2020-06-29 06:31:35 s.ADDTREE] Hello,  

[2020-06-29 06:31:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:31:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:31:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:39 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.05; User: 4.92; System: 0.30) 
[2020-06-29 06:31:39 FUN] Running grid line #32 of 40... 
[2020-06-29 06:31:39 s.ADDTREE] Hello,  

[2020-06-29 06:31:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:31:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  41
                0  10   9

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1800 
Balanced Accuracy  0.1355 
              PPV  0.0238 
              NPV  0.4737 
               F1  0.0377 
         Accuracy  0.1639 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  6
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 06:31:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:44 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.11; User: 4.23; System: 0.31) 
[2020-06-29 06:31:44 FUN] Running grid line #33 of 40... 
[2020-06-29 06:31:44 s.ADDTREE] Hello,  

[2020-06-29 06:31:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:31:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  10   8

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1569 
Balanced Accuracy  0.1239 
              PPV  0.0227 
              NPV  0.4444 
               F1  0.0364 
         Accuracy  0.1452 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:31:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:48 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.89; User: 4.32; System: 0.52) 
[2020-06-29 06:31:48 FUN] Running grid line #34 of 40... 
[2020-06-29 06:31:48 s.ADDTREE] Hello,  

[2020-06-29 06:31:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:31:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  48
                0   0   2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0400 
Balanced Accuracy  0.5200 
              PPV  0.1864 
              NPV  1.0000 
               F1  0.3143 
         Accuracy  0.2131 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:31:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:51 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.60; User: 4.22; System: 0.32) 
[2020-06-29 06:31:51 FUN] Running grid line #35 of 40... 
[2020-06-29 06:31:51 s.ADDTREE] Hello,  

[2020-06-29 06:31:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:31:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  10   8

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1569 
Balanced Accuracy  0.1239 
              PPV  0.0227 
              NPV  0.4444 
               F1  0.0364 
         Accuracy  0.1452 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:31:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:55 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:56 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.19; User: 4.81; System: 0.39) 
[2020-06-29 06:31:56 FUN] Running grid line #36 of 40... 
[2020-06-29 06:31:56 s.ADDTREE] Hello,  

[2020-06-29 06:31:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:31:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  10   4

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.0800 
Balanced Accuracy  0.0855 
              PPV  0.0213 
              NPV  0.2857 
               F1  0.0345 
         Accuracy  0.0820 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:31:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:31:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:31:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:31:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:31:59 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.70; User: 4.27; System: 0.32) 
[2020-06-29 06:32:00 FUN] Running grid line #37 of 40... 
[2020-06-29 06:32:00 s.ADDTREE] Hello,  

[2020-06-29 06:32:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:32:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  42
                0  10   9

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1765 
Balanced Accuracy  0.1337 
              PPV  0.0233 
              NPV  0.4737 
               F1  0.0370 
         Accuracy  0.1613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 06:32:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:03 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:04 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.98; User: 4.73; System: 0.40) 
[2020-06-29 06:32:04 FUN] Running grid line #38 of 40... 
[2020-06-29 06:32:04 s.ADDTREE] Hello,  

[2020-06-29 06:32:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:32:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1803 
              NPV  NA     
               F1  0.3056 
         Accuracy  0.1803 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:32:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:07 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.66; User: 4.24; System: 0.22) 
[2020-06-29 06:32:07 FUN] Running grid line #39 of 40... 
[2020-06-29 06:32:08 s.ADDTREE] Hello,  

[2020-06-29 06:32:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:32:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:32:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:11 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.75; User: 4.43; System: 0.39) 
[2020-06-29 06:32:11 FUN] Running grid line #40 of 40... 
[2020-06-29 06:32:11 s.ADDTREE] Hello,  

[2020-06-29 06:32:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:32:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  49
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0200 
Balanced Accuracy  0.5100 
              PPV  0.1695 
              NPV  1.0000 
               F1  0.2899 
         Accuracy  0.1833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:32:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:15 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.61; User: 4.33; System: 0.27) 
[2020-06-29 06:32:25 FUN] Running grid line #1 of 40... 
[2020-06-29 06:32:25 s.ADDTREE] Hello,  

[2020-06-29 06:32:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:32:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   7
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8627 
Balanced Accuracy  0.9314 
              PPV  0.6111 
              NPV  1.0000 
               F1  0.7586 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:32:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:38 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.12; User: 21.08; System: 0.75) 
[2020-06-29 06:32:38 FUN] Running grid line #2 of 40... 
[2020-06-29 06:32:38 s.ADDTREE] Hello,  

[2020-06-29 06:32:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:32:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:32:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:32:49 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 17.17; System: 0.58) 
[2020-06-29 06:32:49 FUN] Running grid line #3 of 40... 
[2020-06-29 06:32:49 s.ADDTREE] Hello,  

[2020-06-29 06:32:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:32:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   9
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8269 
Balanced Accuracy  0.9135 
              PPV  0.5714 
              NPV  1.0000 
               F1  0.7273 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:32:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:32:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:32:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:32:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:00 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.69; User: 17.41; System: 0.55) 
[2020-06-29 06:33:00 FUN] Running grid line #4 of 40... 
[2020-06-29 06:33:00 s.ADDTREE] Hello,  

[2020-06-29 06:33:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:33:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:33:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:33:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:33:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:33:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:09 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.46; User: 12.75; System: 0.56) 
[2020-06-29 06:33:09 FUN] Running grid line #5 of 40... 
[2020-06-29 06:33:09 s.ADDTREE] Hello,  

[2020-06-29 06:33:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:33:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  11
                0   0  40

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7843 
Balanced Accuracy  0.8922 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8226 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:33:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:33:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:33:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:33:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:19 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.87; User: 17.42; System: 0.74) 
[2020-06-29 06:33:20 FUN] Running grid line #6 of 40... 
[2020-06-29 06:33:20 s.ADDTREE] Hello,  

[2020-06-29 06:33:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:33:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   9
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8269 
Balanced Accuracy  0.9135 
              PPV  0.5714 
              NPV  1.0000 
               F1  0.7273 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:33:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:33:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:33:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:33:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:32 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.22; User: 19.55; System: 0.66) 
[2020-06-29 06:33:32 FUN] Running grid line #7 of 40... 
[2020-06-29 06:33:32 s.ADDTREE] Hello,  

[2020-06-29 06:33:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:33:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  11
                0   0  40

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7843 
Balanced Accuracy  0.8922 
              PPV  0.5217 
              NPV  1.0000 
               F1  0.6857 
         Accuracy  0.8254 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:33:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:33:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:33:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:33:41 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:43 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.61; User: 16.97; System: 0.75) 
[2020-06-29 06:33:43 FUN] Running grid line #8 of 40... 
[2020-06-29 06:33:43 s.ADDTREE] Hello,  

[2020-06-29 06:33:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:33:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   7
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8654 
Balanced Accuracy  0.9327 
              PPV  0.6316 
              NPV  1.0000 
               F1  0.7742 
         Accuracy  0.8906 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:33:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:33:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:33:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:33:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:33:54 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.44; User: 18.16; System: 0.81) 
[2020-06-29 06:33:54 FUN] Running grid line #9 of 40... 
[2020-06-29 06:33:54 s.ADDTREE] Hello,  

[2020-06-29 06:33:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:33:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   8
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8431 
Balanced Accuracy  0.9216 
              PPV  0.6000 
              NPV  1.0000 
               F1  0.7500 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:33:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:34:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:34:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:34:02 s.ADDTREE] Pruning tree... 

[2020-06-29 06:34:03 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.10; User: 13.74; System: 0.41) 
[2020-06-29 06:34:03 FUN] Running grid line #10 of 40... 
[2020-06-29 06:34:03 s.ADDTREE] Hello,  

[2020-06-29 06:34:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:34:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  12
                0   0  39

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.7647 
Balanced Accuracy  0.8824 
              PPV  0.4783 
              NPV  1.0000 
               F1  0.6471 
         Accuracy  0.8065 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:34:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:34:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:34:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:34:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:34:19 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.29; User: 21.36; System: 1.02) 
[2020-06-29 06:34:19 FUN] Running grid line #11 of 40... 
[2020-06-29 06:34:19 s.ADDTREE] Hello,  

[2020-06-29 06:34:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:34:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:34:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:34:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:34:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:34:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:34:34 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.64; User: 21.33; System: 0.93) 
[2020-06-29 06:34:34 FUN] Running grid line #12 of 40... 
[2020-06-29 06:34:34 s.ADDTREE] Hello,  

[2020-06-29 06:34:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:34:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:34:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:34:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:34:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:34:42 s.ADDTREE] Pruning tree... 

[2020-06-29 06:34:44 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.49; User: 16.98; System: 0.65) 
[2020-06-29 06:34:44 FUN] Running grid line #13 of 40... 
[2020-06-29 06:34:44 s.ADDTREE] Hello,  

[2020-06-29 06:34:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:34:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9423 
Balanced Accuracy  0.9712 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:34:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:34:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:34:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:34:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:34:56 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.12; User: 18.01; System: 0.72) 
[2020-06-29 06:34:56 FUN] Running grid line #14 of 40... 
[2020-06-29 06:34:56 s.ADDTREE] Hello,  

[2020-06-29 06:34:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:34:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:35:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:35:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:35:03 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:35:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:35:08 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.58; User: 20.70; System: 0.76) 
[2020-06-29 06:35:08 FUN] Running grid line #15 of 40... 
[2020-06-29 06:35:08 s.ADDTREE] Hello,  

[2020-06-29 06:35:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:35:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:35:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:35:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:35:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:35:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:35:23 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.01; User: 24.92; System: 0.85) 
[2020-06-29 06:35:23 FUN] Running grid line #16 of 40... 
[2020-06-29 06:35:23 s.ADDTREE] Hello,  

[2020-06-29 06:35:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:35:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9423 
Balanced Accuracy  0.9712 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:35:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:35:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:35:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:35:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:35:39 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.25; User: 25.19; System: 0.82) 
[2020-06-29 06:35:39 FUN] Running grid line #17 of 40... 
[2020-06-29 06:35:39 s.ADDTREE] Hello,  

[2020-06-29 06:35:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:35:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:35:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:35:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:35:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:35:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:35:51 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.84; User: 19.80; System: 0.60) 
[2020-06-29 06:35:51 FUN] Running grid line #18 of 40... 
[2020-06-29 06:35:51 s.ADDTREE] Hello,  

[2020-06-29 06:35:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:35:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  52

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:35:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:35:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:35:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:03 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:06 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.78; User: 24.56; System: 0.78) 
[2020-06-29 06:36:06 FUN] Running grid line #19 of 40... 
[2020-06-29 06:36:06 s.ADDTREE] Hello,  

[2020-06-29 06:36:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:36:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:36:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:36:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:36:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:17 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.91; User: 17.81; System: 0.71) 
[2020-06-29 06:36:17 FUN] Running grid line #20 of 40... 
[2020-06-29 06:36:17 s.ADDTREE] Hello,  

[2020-06-29 06:36:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:36:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:36:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:36:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:36:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:32 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.16; User: 24.53; System: 0.72) 
[2020-06-29 06:36:32 FUN] Running grid line #21 of 40... 
[2020-06-29 06:36:32 s.ADDTREE] Hello,  

[2020-06-29 06:36:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:36:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  1  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.3333 
              NPV  0.8000 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 06:36:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:36:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:36:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:38 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:39 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.70; User: 9.83; System: 0.47) 
[2020-06-29 06:36:39 FUN] Running grid line #22 of 40... 
[2020-06-29 06:36:39 s.ADDTREE] Hello,  

[2020-06-29 06:36:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:36:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:36:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:36:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:36:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:44 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:45 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.03; User: 8.64; System: 0.53) 
[2020-06-29 06:36:45 FUN] Running grid line #23 of 40... 
[2020-06-29 06:36:45 s.ADDTREE] Hello,  

[2020-06-29 06:36:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:36:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9423 
Balanced Accuracy  0.9712 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:36:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:36:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:36:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:36:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:36:53 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.41; User: 12.79; System: 0.58) 
[2020-06-29 06:36:54 FUN] Running grid line #24 of 40... 
[2020-06-29 06:36:54 s.ADDTREE] Hello,  

[2020-06-29 06:36:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:36:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:36:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:02 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:03 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.77; User: 14.97; System: 0.75) 
[2020-06-29 06:37:03 FUN] Running grid line #25 of 40... 
[2020-06-29 06:37:04 s.ADDTREE] Hello,  

[2020-06-29 06:37:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:37:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:37:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:13 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.21; User: 14.19; System: 0.66) 
[2020-06-29 06:37:13 FUN] Running grid line #26 of 40... 
[2020-06-29 06:37:13 s.ADDTREE] Hello,  

[2020-06-29 06:37:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:37:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:37:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:23 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.26; User: 16.02; System: 0.79) 
[2020-06-29 06:37:23 FUN] Running grid line #27 of 40... 
[2020-06-29 06:37:23 s.ADDTREE] Hello,  

[2020-06-29 06:37:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:37:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:37:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:31 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.96; User: 11.39; System: 0.45) 
[2020-06-29 06:37:31 FUN] Running grid line #28 of 40... 
[2020-06-29 06:37:31 s.ADDTREE] Hello,  

[2020-06-29 06:37:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:37:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  52

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:37:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:42 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:48 s.ADDTREE] Run completed in 0.28 minutes (Real: 16.70; User: 17.88; System: 1.05) 
[2020-06-29 06:37:48 FUN] Running grid line #29 of 40... 
[2020-06-29 06:37:48 s.ADDTREE] Hello,  

[2020-06-29 06:37:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:37:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:37:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:37:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:37:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:37:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:37:59 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.97; User: 12.48; System: 0.62) 
[2020-06-29 06:37:59 FUN] Running grid line #30 of 40... 
[2020-06-29 06:38:00 s.ADDTREE] Hello,  

[2020-06-29 06:38:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:38:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  2  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.7500 
               F1  NA     
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:38:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:10 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:12 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.13; User: 16.35; System: 0.97) 
[2020-06-29 06:38:12 FUN] Running grid line #31 of 40... 
[2020-06-29 06:38:12 s.ADDTREE] Hello,  

[2020-06-29 06:38:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:38:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  10   8

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1569 
Balanced Accuracy  0.1239 
              PPV  0.0227 
              NPV  0.4444 
               F1  0.0364 
         Accuracy  0.1452 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  2  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:38:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:17 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.19; User: 5.25; System: 0.59) 
[2020-06-29 06:38:17 FUN] Running grid line #32 of 40... 
[2020-06-29 06:38:17 s.ADDTREE] Hello,  

[2020-06-29 06:38:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:38:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  45
                0   0   6

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1176 
Balanced Accuracy  0.5588 
              PPV  0.2105 
              NPV  1.0000 
               F1  0.3478 
         Accuracy  0.2857 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:38:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:22 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:22 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.97; User: 6.05; System: 0.38) 
[2020-06-29 06:38:22 FUN] Running grid line #33 of 40... 
[2020-06-29 06:38:22 s.ADDTREE] Hello,  

[2020-06-29 06:38:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:38:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  52
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1875 
              NPV  NA     
               F1  0.3158 
         Accuracy  0.1875 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:38:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:26 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:26 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.08; User: 4.52; System: 0.34) 
[2020-06-29 06:38:26 FUN] Running grid line #34 of 40... 
[2020-06-29 06:38:26 s.ADDTREE] Hello,  

[2020-06-29 06:38:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:38:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1905 
              NPV  NA     
               F1  0.3200 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:38:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:30 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.55; User: 4.06; System: 0.22) 
[2020-06-29 06:38:30 FUN] Running grid line #35 of 40... 
[2020-06-29 06:38:30 s.ADDTREE] Hello,  

[2020-06-29 06:38:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:38:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  42
                0  10   9

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1765 
Balanced Accuracy  0.1337 
              PPV  0.0233 
              NPV  0.4737 
               F1  0.0370 
         Accuracy  0.1613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  2  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.1250 

  Positive Class:  1 
[2020-06-29 06:38:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:34 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:35 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.39; User: 4.99; System: 0.55) 
[2020-06-29 06:38:35 FUN] Running grid line #36 of 40... 
[2020-06-29 06:38:35 s.ADDTREE] Hello,  

[2020-06-29 06:38:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:38:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  42
                0  11  10

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1923 
Balanced Accuracy  0.1378 
              PPV  0.0233 
              NPV  0.4762 
               F1  0.0364 
         Accuracy  0.1719 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 06:38:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:38 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:39 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.08; User: 4.89; System: 0.37) 
[2020-06-29 06:38:39 FUN] Running grid line #37 of 40... 
[2020-06-29 06:38:39 s.ADDTREE] Hello,  

[2020-06-29 06:38:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:38:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  45
                0   0   6

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1176 
Balanced Accuracy  0.5588 
              PPV  0.2105 
              NPV  1.0000 
               F1  0.3478 
         Accuracy  0.2857 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:38:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:43 s.ADDTREE] Run completed in 0.07 minutes (Real: 4; User: 4.62; System: 0.21) 
[2020-06-29 06:38:43 FUN] Running grid line #38 of 40... 
[2020-06-29 06:38:43 s.ADDTREE] Hello,  

[2020-06-29 06:38:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:38:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  11   6

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1154 
Balanced Accuracy  0.0994 
              PPV  0.0213 
              NPV  0.3529 
               F1  0.0339 
         Accuracy  0.1094 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  1  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.4000 
Balanced Accuracy  0.2000 
              PPV  0.0000 
              NPV  0.6667 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 06:38:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:47 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.76; User: 4.27; System: 0.32) 
[2020-06-29 06:38:47 FUN] Running grid line #39 of 40... 
[2020-06-29 06:38:47 s.ADDTREE] Hello,  

[2020-06-29 06:38:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:38:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  47
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0784 
Balanced Accuracy  0.5392 
              PPV  0.2034 
              NPV  1.0000 
               F1  0.3380 
         Accuracy  0.2540 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:38:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:51 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.96; User: 4.59; System: 0.43) 
[2020-06-29 06:38:51 FUN] Running grid line #40 of 40... 
[2020-06-29 06:38:51 s.ADDTREE] Hello,  

[2020-06-29 06:38:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:38:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.2857 
              NPV  1.0000 
               F1  0.4444 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 06:38:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:38:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:38:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:38:54 s.ADDTREE] Pruning tree... 

[2020-06-29 06:38:54 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.37; User: 3.91; System: 0.22) 
[2020-06-29 06:39:07 FUN] Running grid line #1 of 40... 
[2020-06-29 06:39:07 s.ADDTREE] Hello,  

[2020-06-29 06:39:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:39:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8235 
Balanced Accuracy  0.9118 
              PPV  0.5500 
              NPV  1.0000 
               F1  0.7097 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:39:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:39:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:39:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:39:17 s.ADDTREE] Pruning tree... 

[2020-06-29 06:39:19 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.17; User: 19.08; System: 0.90) 
[2020-06-29 06:39:19 FUN] Running grid line #2 of 40... 
[2020-06-29 06:39:19 s.ADDTREE] Hello,  

[2020-06-29 06:39:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:39:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   1  42

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8235 
Balanced Accuracy  0.8701 
              PPV  0.5500 
              NPV  0.9767 
               F1  0.6875 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:39:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:39:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:39:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:39:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:39:30 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 17.02; System: 0.60) 
[2020-06-29 06:39:30 FUN] Running grid line #3 of 40... 
[2020-06-29 06:39:30 s.ADDTREE] Hello,  

[2020-06-29 06:39:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:39:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   5
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9038 
Balanced Accuracy  0.9519 
              PPV  0.7059 
              NPV  1.0000 
               F1  0.8276 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:39:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:39:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:39:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:39:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:39:41 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.01; User: 17.21; System: 0.57) 
[2020-06-29 06:39:41 FUN] Running grid line #4 of 40... 
[2020-06-29 06:39:41 s.ADDTREE] Hello,  

[2020-06-29 06:39:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:39:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   1  45

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8824 
Balanced Accuracy  0.8995 
              PPV  0.6471 
              NPV  0.9783 
               F1  0.7586 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:39:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:39:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:39:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:39:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:39:52 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.26; User: 16.53; System: 0.62) 
[2020-06-29 06:39:52 FUN] Running grid line #5 of 40... 
[2020-06-29 06:39:52 s.ADDTREE] Hello,  

[2020-06-29 06:39:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:39:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:39:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:39:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:39:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:00 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:02 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.14; User: 15.69; System: 0.66) 
[2020-06-29 06:40:02 FUN] Running grid line #6 of 40... 
[2020-06-29 06:40:02 s.ADDTREE] Hello,  

[2020-06-29 06:40:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:40:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   1  44

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8462 
Balanced Accuracy  0.8814 
              PPV  0.5789 
              NPV  0.9778 
               F1  0.7097 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:40:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:40:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:40:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:13 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.61; User: 16.87; System: 0.67) 
[2020-06-29 06:40:13 FUN] Running grid line #7 of 40... 
[2020-06-29 06:40:13 s.ADDTREE] Hello,  

[2020-06-29 06:40:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:40:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   1  46

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9020 
Balanced Accuracy  0.9093 
              PPV  0.6875 
              NPV  0.9787 
               F1  0.7857 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:40:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:40:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:40:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:22 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.14; User: 14.16; System: 0.61) 
[2020-06-29 06:40:22 FUN] Running grid line #8 of 40... 
[2020-06-29 06:40:22 s.ADDTREE] Hello,  

[2020-06-29 06:40:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:40:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  48

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9231 
Balanced Accuracy  0.9199 
              PPV  0.7333 
              NPV  0.9796 
               F1  0.8148 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8000 
Balanced Accuracy  0.4000 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:40:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:40:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:40:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:30 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 12.17; System: 0.40) 
[2020-06-29 06:40:30 FUN] Running grid line #9 of 40... 
[2020-06-29 06:40:30 s.ADDTREE] Hello,  

[2020-06-29 06:40:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:40:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   2  47

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9216 
Balanced Accuracy  0.8775 
              PPV  0.7143 
              NPV  0.9592 
               F1  0.7692 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:40:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:40:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:40:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:40 s.ADDTREE] Run completed in 0.17 minutes (Real: 9.91; User: 15.21; System: 0.61) 
[2020-06-29 06:40:40 FUN] Running grid line #10 of 40... 
[2020-06-29 06:40:40 s.ADDTREE] Hello,  

[2020-06-29 06:40:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:40:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8431 
Balanced Accuracy  0.9216 
              PPV  0.5789 
              NPV  1.0000 
               F1  0.7333 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:40:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:40:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:40:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:40:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:40:52 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.91; User: 19.40; System: 0.78) 
[2020-06-29 06:40:52 FUN] Running grid line #11 of 40... 
[2020-06-29 06:40:52 s.ADDTREE] Hello,  

[2020-06-29 06:40:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:40:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:41:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:41:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:41:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:41:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:41:08 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.75; User: 26.09; System: 0.88) 
[2020-06-29 06:41:08 FUN] Running grid line #12 of 40... 
[2020-06-29 06:41:08 s.ADDTREE] Hello,  

[2020-06-29 06:41:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:41:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9608 
Balanced Accuracy  0.9387 
              PPV  0.8462 
              NPV  0.9800 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:41:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:41:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:41:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:41:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:41:23 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.45; User: 24.29; System: 0.85) 
[2020-06-29 06:41:23 FUN] Running grid line #13 of 40... 
[2020-06-29 06:41:23 s.ADDTREE] Hello,  

[2020-06-29 06:41:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:41:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:41:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:41:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:41:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:41:35 s.ADDTREE] Pruning tree... 

[2020-06-29 06:41:38 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.64; User: 23.78; System: 0.82) 
[2020-06-29 06:41:38 FUN] Running grid line #14 of 40... 
[2020-06-29 06:41:38 s.ADDTREE] Hello,  

[2020-06-29 06:41:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:41:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9608 
Balanced Accuracy  0.9387 
              PPV  0.8462 
              NPV  0.9800 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:41:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:41:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:41:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:41:51 s.ADDTREE] Pruning tree... 

[2020-06-29 06:41:54 s.ADDTREE] Run completed in 0.27 minutes (Real: 16.35; User: 27.47; System: 0.92) 
[2020-06-29 06:41:54 FUN] Running grid line #15 of 40... 
[2020-06-29 06:41:54 s.ADDTREE] Hello,  

[2020-06-29 06:41:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:41:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:42:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:42:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:42:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:42:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:42:08 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.69; User: 22.22; System: 0.69) 
[2020-06-29 06:42:08 FUN] Running grid line #16 of 40... 
[2020-06-29 06:42:08 s.ADDTREE] Hello,  

[2020-06-29 06:42:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:42:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:42:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:42:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:42:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:42:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:42:21 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.57; User: 20.60; System: 0.75) 
[2020-06-29 06:42:21 FUN] Running grid line #17 of 40... 
[2020-06-29 06:42:21 s.ADDTREE] Hello,  

[2020-06-29 06:42:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:42:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:42:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:42:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:42:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:42:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:42:32 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.41; User: 17.86; System: 0.76) 
[2020-06-29 06:42:32 FUN] Running grid line #18 of 40... 
[2020-06-29 06:42:32 s.ADDTREE] Hello,  

[2020-06-29 06:42:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:42:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  50

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9615 
Balanced Accuracy  0.9391 
              PPV  0.8462 
              NPV  0.9804 
               F1  0.8800 
         Accuracy  0.9531 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:42:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:42:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:42:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:42:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:42:45 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.43; User: 19.61; System: 0.71) 
[2020-06-29 06:42:45 FUN] Running grid line #19 of 40... 
[2020-06-29 06:42:45 s.ADDTREE] Hello,  

[2020-06-29 06:42:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:42:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:42:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:42:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:42:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:42:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:42:59 s.ADDTREE] Run completed in 0.23 minutes (Real: 14.08; User: 23.28; System: 0.74) 
[2020-06-29 06:42:59 FUN] Running grid line #20 of 40... 
[2020-06-29 06:42:59 s.ADDTREE] Hello,  

[2020-06-29 06:42:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:42:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:43:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:14 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.59; User: 24.08; System: 0.92) 
[2020-06-29 06:43:14 FUN] Running grid line #21 of 40... 
[2020-06-29 06:43:14 s.ADDTREE] Hello,  

[2020-06-29 06:43:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:43:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:43:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:23 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.83; User: 13.88; System: 0.66) 
[2020-06-29 06:43:23 FUN] Running grid line #22 of 40... 
[2020-06-29 06:43:23 s.ADDTREE] Hello,  

[2020-06-29 06:43:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:43:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:43:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:30 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.06; User: 10.47; System: 0.39) 
[2020-06-29 06:43:30 FUN] Running grid line #23 of 40... 
[2020-06-29 06:43:30 s.ADDTREE] Hello,  

[2020-06-29 06:43:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:43:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:43:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:38 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:40 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.16; User: 16.02; System: 0.65) 
[2020-06-29 06:43:40 FUN] Running grid line #24 of 40... 
[2020-06-29 06:43:40 s.ADDTREE] Hello,  

[2020-06-29 06:43:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:43:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:43:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:46 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.93; User: 10.56; System: 0.26) 
[2020-06-29 06:43:47 FUN] Running grid line #25 of 40... 
[2020-06-29 06:43:47 s.ADDTREE] Hello,  

[2020-06-29 06:43:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:43:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  9   1
                0  2  50

                   Overall  
      Sensitivity  0.8182 
      Specificity  0.9804 
Balanced Accuracy  0.8993 
              PPV  0.9000 
              NPV  0.9615 
               F1  0.8571 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:43:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:43:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:43:54 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.69; User: 9.72; System: 0.54) 
[2020-06-29 06:43:54 FUN] Running grid line #26 of 40... 
[2020-06-29 06:43:54 s.ADDTREE] Hello,  

[2020-06-29 06:43:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:43:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  52

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8000 
Balanced Accuracy  0.4000 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:43:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:43:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:43:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:00 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:02 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.70; User: 11.25; System: 0.53) 
[2020-06-29 06:44:02 FUN] Running grid line #27 of 40... 
[2020-06-29 06:44:02 s.ADDTREE] Hello,  

[2020-06-29 06:44:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:44:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:44:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:08 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:09 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.72; User: 9.73; System: 0.50) 
[2020-06-29 06:44:09 FUN] Running grid line #28 of 40... 
[2020-06-29 06:44:09 s.ADDTREE] Hello,  

[2020-06-29 06:44:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:44:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:44:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:13 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:14 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.89; User: 6.36; System: 0.55) 
[2020-06-29 06:44:14 FUN] Running grid line #29 of 40... 
[2020-06-29 06:44:14 s.ADDTREE] Hello,  

[2020-06-29 06:44:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:44:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:44:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:23 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:24 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.61; User: 16.74; System: 0.66) 
[2020-06-29 06:44:24 FUN] Running grid line #30 of 40... 
[2020-06-29 06:44:25 s.ADDTREE] Hello,  

[2020-06-29 06:44:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:44:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:44:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:32 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.73; User: 10.77; System: 0.52) 
[2020-06-29 06:44:32 FUN] Running grid line #31 of 40... 
[2020-06-29 06:44:32 s.ADDTREE] Hello,  

[2020-06-29 06:44:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:44:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1803 
              NPV  1.0000 
               F1  0.3056 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:44:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:36 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.63; User: 4.24; System: 0.30) 
[2020-06-29 06:44:36 FUN] Running grid line #32 of 40... 
[2020-06-29 06:44:36 s.ADDTREE] Hello,  

[2020-06-29 06:44:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:44:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  40
                0  11  11

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.2157 
Balanced Accuracy  0.1495 
              PPV  0.0244 
              NPV  0.5000 
               F1  0.0377 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:44:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:40 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:40 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.99; User: 4.73; System: 0.29) 
[2020-06-29 06:44:40 FUN] Running grid line #33 of 40... 
[2020-06-29 06:44:40 s.ADDTREE] Hello,  

[2020-06-29 06:44:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:44:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  48
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0769 
Balanced Accuracy  0.5385 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.2500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:44:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:44 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:45 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.29; User: 5.19; System: 0.50) 
[2020-06-29 06:44:45 FUN] Running grid line #34 of 40... 
[2020-06-29 06:44:45 s.ADDTREE] Hello,  

[2020-06-29 06:44:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:44:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  41
                0  11  10

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1961 
Balanced Accuracy  0.1397 
              PPV  0.0238 
              NPV  0.4762 
               F1  0.0370 
         Accuracy  0.1746 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:44:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:49 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.94; User: 4.67; System: 0.25) 
[2020-06-29 06:44:49 FUN] Running grid line #35 of 40... 
[2020-06-29 06:44:49 s.ADDTREE] Hello,  

[2020-06-29 06:44:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:44:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  6  47
                0  5   4

                   Overall  
      Sensitivity  0.5455 
      Specificity  0.0784 
Balanced Accuracy  0.3119 
              PPV  0.1132 
              NPV  0.4444 
               F1  0.1875 
         Accuracy  0.1613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  2  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.1250 

  Positive Class:  1 
[2020-06-29 06:44:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:53 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.31; User: 5.22; System: 0.36) 
[2020-06-29 06:44:53 FUN] Running grid line #36 of 40... 
[2020-06-29 06:44:53 s.ADDTREE] Hello,  

[2020-06-29 06:44:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:44:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  39
                0  11  13

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.2500 
Balanced Accuracy  0.1667 
              PPV  0.0250 
              NPV  0.5417 
               F1  0.0385 
         Accuracy  0.2188 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  1  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6000 
Balanced Accuracy  0.3000 
              PPV  0.0000 
              NPV  0.7500 
               F1  NA     
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:44:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:44:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:44:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:44:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:44:57 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.64; User: 4.31; System: 0.39) 
[2020-06-29 06:44:57 FUN] Running grid line #37 of 40... 
[2020-06-29 06:44:57 s.ADDTREE] Hello,  

[2020-06-29 06:44:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:44:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  48
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0588 
Balanced Accuracy  0.5294 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.2381 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:45:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:01 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:01 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.26; User: 5.26; System: 0.47) 
[2020-06-29 06:45:01 FUN] Running grid line #38 of 40... 
[2020-06-29 06:45:01 s.ADDTREE] Hello,  

[2020-06-29 06:45:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:45:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  11   6

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1154 
Balanced Accuracy  0.0994 
              PPV  0.0213 
              NPV  0.3529 
               F1  0.0339 
         Accuracy  0.1094 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2000 
Balanced Accuracy  0.6000 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 06:45:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:05 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.85; User: 4.61; System: 0.32) 
[2020-06-29 06:45:05 FUN] Running grid line #39 of 40... 
[2020-06-29 06:45:05 s.ADDTREE] Hello,  

[2020-06-29 06:45:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:45:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  47
                0   1   4

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.0784 
Balanced Accuracy  0.4975 
              PPV  0.1897 
              NPV  0.8000 
               F1  0.3143 
         Accuracy  0.2381 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.1667 
              NPV  1.0000 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 06:45:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:10 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.68; User: 5.95; System: 0.45) 
[2020-06-29 06:45:10 FUN] Running grid line #40 of 40... 
[2020-06-29 06:45:10 s.ADDTREE] Hello,  

[2020-06-29 06:45:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:45:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   0   2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0392 
Balanced Accuracy  0.5196 
              PPV  0.1833 
              NPV  1.0000 
               F1  0.3099 
         Accuracy  0.2097 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:45:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:14 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:14 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.70; User: 4.40; System: 0.29) 
[2020-06-29 06:45:25 FUN] Running grid line #1 of 40... 
[2020-06-29 06:45:25 s.ADDTREE] Hello,  

[2020-06-29 06:45:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:45:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  10
                0   0  41

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8039 
Balanced Accuracy  0.9020 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8361 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:45:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:32 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:34 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.04; User: 13.68; System: 0.63) 
[2020-06-29 06:45:34 FUN] Running grid line #2 of 40... 
[2020-06-29 06:45:34 s.ADDTREE] Hello,  

[2020-06-29 06:45:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:45:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  2
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.6667 
Balanced Accuracy  0.3333 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.5714 

  Positive Class:  1 
[2020-06-29 06:45:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:41 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:42 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.68; User: 13.52; System: 0.52) 
[2020-06-29 06:45:43 FUN] Running grid line #3 of 40... 
[2020-06-29 06:45:43 s.ADDTREE] Hello,  

[2020-06-29 06:45:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:45:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  10
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8077 
Balanced Accuracy  0.9038 
              PPV  0.5238 
              NPV  1.0000 
               F1  0.6875 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:45:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:50 s.ADDTREE] Pruning tree... 

[2020-06-29 06:45:52 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.14; User: 14.15; System: 0.66) 
[2020-06-29 06:45:52 FUN] Running grid line #4 of 40... 
[2020-06-29 06:45:52 s.ADDTREE] Hello,  

[2020-06-29 06:45:52 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:45:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8235 
Balanced Accuracy  0.9118 
              PPV  0.5500 
              NPV  1.0000 
               F1  0.7097 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:45:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:45:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:45:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:45:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:01 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.74; User: 12.95; System: 0.72) 
[2020-06-29 06:46:01 FUN] Running grid line #5 of 40... 
[2020-06-29 06:46:01 s.ADDTREE] Hello,  

[2020-06-29 06:46:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:46:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:46:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:08 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.53; User: 11.29; System: 0.63) 
[2020-06-29 06:46:08 FUN] Running grid line #6 of 40... 
[2020-06-29 06:46:08 s.ADDTREE] Hello,  

[2020-06-29 06:46:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:46:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8269 
Balanced Accuracy  0.9135 
              PPV  0.5500 
              NPV  1.0000 
               F1  0.7097 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:46:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:17 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.40; User: 12.72; System: 0.61) 
[2020-06-29 06:46:17 FUN] Running grid line #7 of 40... 
[2020-06-29 06:46:17 s.ADDTREE] Hello,  

[2020-06-29 06:46:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:46:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9216 
Balanced Accuracy  0.9608 
              PPV  0.7333 
              NPV  1.0000 
               F1  0.8462 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:46:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:26 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.92; User: 13.64; System: 0.53) 
[2020-06-29 06:46:26 FUN] Running grid line #8 of 40... 
[2020-06-29 06:46:26 s.ADDTREE] Hello,  

[2020-06-29 06:46:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:46:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  10
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8077 
Balanced Accuracy  0.9038 
              PPV  0.5238 
              NPV  1.0000 
               F1  0.6875 
         Accuracy  0.8413 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:46:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:34 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:35 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.24; User: 14.34; System: 0.53) 
[2020-06-29 06:46:35 FUN] Running grid line #9 of 40... 
[2020-06-29 06:46:35 s.ADDTREE] Hello,  

[2020-06-29 06:46:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:46:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8431 
Balanced Accuracy  0.9216 
              PPV  0.5789 
              NPV  1.0000 
               F1  0.7333 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:46:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:44 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.83; User: 13.81; System: 0.54) 
[2020-06-29 06:46:44 FUN] Running grid line #10 of 40... 
[2020-06-29 06:46:44 s.ADDTREE] Hello,  

[2020-06-29 06:46:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:46:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   8
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8431 
Balanced Accuracy  0.9216 
              PPV  0.5556 
              NPV  1.0000 
               F1  0.7143 
         Accuracy  0.8689 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:46:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:46:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:46:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:46:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:46:53 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.08; User: 14.03; System: 0.50) 
[2020-06-29 06:46:54 FUN] Running grid line #11 of 40... 
[2020-06-29 06:46:54 s.ADDTREE] Hello,  

[2020-06-29 06:46:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:46:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:46:59 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:00 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:00 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:02 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:04 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.75; User: 17.02; System: 0.74) 
[2020-06-29 06:47:04 FUN] Running grid line #12 of 40... 
[2020-06-29 06:47:04 s.ADDTREE] Hello,  

[2020-06-29 06:47:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:47:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:47:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:13 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:15 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.53; User: 16.48; System: 0.62) 
[2020-06-29 06:47:15 FUN] Running grid line #13 of 40... 
[2020-06-29 06:47:15 s.ADDTREE] Hello,  

[2020-06-29 06:47:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:47:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9423 
Balanced Accuracy  0.9712 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:47:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:26 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:28 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.74; User: 18.69; System: 0.84) 
[2020-06-29 06:47:28 FUN] Running grid line #14 of 40... 
[2020-06-29 06:47:28 s.ADDTREE] Hello,  

[2020-06-29 06:47:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:47:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:47:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:39 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.02; User: 17.56; System: 0.62) 
[2020-06-29 06:47:39 FUN] Running grid line #15 of 40... 
[2020-06-29 06:47:39 s.ADDTREE] Hello,  

[2020-06-29 06:47:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:47:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:47:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:48 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.17; User: 14.39; System: 0.58) 
[2020-06-29 06:47:48 FUN] Running grid line #16 of 40... 
[2020-06-29 06:47:48 s.ADDTREE] Hello,  

[2020-06-29 06:47:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:47:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:47:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:47:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:47:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:47:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:47:59 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.89; User: 17.41; System: 0.63) 
[2020-06-29 06:47:59 FUN] Running grid line #17 of 40... 
[2020-06-29 06:48:00 s.ADDTREE] Hello,  

[2020-06-29 06:48:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:48:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:48:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:11 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.38; User: 16.98; System: 0.66) 
[2020-06-29 06:48:11 FUN] Running grid line #18 of 40... 
[2020-06-29 06:48:11 s.ADDTREE] Hello,  

[2020-06-29 06:48:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:48:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:48:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:18 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:18 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:20 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:22 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.32; User: 17.81; System: 0.58) 
[2020-06-29 06:48:22 FUN] Running grid line #19 of 40... 
[2020-06-29 06:48:22 s.ADDTREE] Hello,  

[2020-06-29 06:48:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:48:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:48:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:29 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:31 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.48; User: 12.81; System: 0.45) 
[2020-06-29 06:48:31 FUN] Running grid line #20 of 40... 
[2020-06-29 06:48:31 s.ADDTREE] Hello,  

[2020-06-29 06:48:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:48:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:48:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:41 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.27; User: 15.81; System: 0.70) 
[2020-06-29 06:48:41 FUN] Running grid line #21 of 40... 
[2020-06-29 06:48:41 s.ADDTREE] Hello,  

[2020-06-29 06:48:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:48:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:48:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:49 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.97; User: 12.17; System: 0.50) 
[2020-06-29 06:48:50 FUN] Running grid line #22 of 40... 
[2020-06-29 06:48:50 s.ADDTREE] Hello,  

[2020-06-29 06:48:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:48:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:48:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:48:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:48:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:48:56 s.ADDTREE] Pruning tree... 

[2020-06-29 06:48:56 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.78; User: 9.69; System: 0.45) 
[2020-06-29 06:48:56 FUN] Running grid line #23 of 40... 
[2020-06-29 06:48:56 s.ADDTREE] Hello,  

[2020-06-29 06:48:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:48:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:49:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:04 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:05 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.67; User: 12.89; System: 0.51) 
[2020-06-29 06:49:05 FUN] Running grid line #24 of 40... 
[2020-06-29 06:49:05 s.ADDTREE] Hello,  

[2020-06-29 06:49:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:49:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:12 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.58; User: 9.72; System: 0.44) 
[2020-06-29 06:49:12 FUN] Running grid line #25 of 40... 
[2020-06-29 06:49:12 s.ADDTREE] Hello,  

[2020-06-29 06:49:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:49:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:49:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:19 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.44; User: 11.04; System: 0.58) 
[2020-06-29 06:49:19 FUN] Running grid line #26 of 40... 
[2020-06-29 06:49:20 s.ADDTREE] Hello,  

[2020-06-29 06:49:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:49:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:25 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.75; User: 8; System: 0.46) 
[2020-06-29 06:49:25 FUN] Running grid line #27 of 40... 
[2020-06-29 06:49:25 s.ADDTREE] Hello,  

[2020-06-29 06:49:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:49:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:31 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:32 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.91; User: 9.71; System: 0.48) 
[2020-06-29 06:49:32 FUN] Running grid line #28 of 40... 
[2020-06-29 06:49:32 s.ADDTREE] Hello,  

[2020-06-29 06:49:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:49:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:40 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.42; User: 11.03; System: 0.54) 
[2020-06-29 06:49:40 FUN] Running grid line #29 of 40... 
[2020-06-29 06:49:40 s.ADDTREE] Hello,  

[2020-06-29 06:49:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:49:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:48 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.30; User: 12.60; System: 0.56) 
[2020-06-29 06:49:48 FUN] Running grid line #30 of 40... 
[2020-06-29 06:49:48 s.ADDTREE] Hello,  

[2020-06-29 06:49:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:49:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:49:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:54 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:55 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.22; User: 9.27; System: 0.48) 
[2020-06-29 06:49:55 FUN] Running grid line #31 of 40... 
[2020-06-29 06:49:55 s.ADDTREE] Hello,  

[2020-06-29 06:49:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:49:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1639 
              NPV  NA     
               F1  0.2817 
         Accuracy  0.1639 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.2857 
              NPV  1.0000 
               F1  0.4444 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 06:49:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:49:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:49:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:49:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:49:59 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.75; User: 4.27; System: 0.26) 
[2020-06-29 06:49:59 FUN] Running grid line #32 of 40... 
[2020-06-29 06:49:59 s.ADDTREE] Hello,  

[2020-06-29 06:49:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:49:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  44
                0   0   7

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1373 
Balanced Accuracy  0.5686 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.2903 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.1667 
              NPV  1.0000 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 06:50:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:03 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:03 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.17; User: 4.69; System: 0.35) 
[2020-06-29 06:50:03 FUN] Running grid line #33 of 40... 
[2020-06-29 06:50:03 s.ADDTREE] Hello,  

[2020-06-29 06:50:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:50:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0577 
Balanced Accuracy  0.5288 
              PPV  0.1833 
              NPV  1.0000 
               F1  0.3099 
         Accuracy  0.2222 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2000 
Balanced Accuracy  0.6000 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 06:50:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:07 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:07 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.23; User: 5.24; System: 0.31) 
[2020-06-29 06:50:07 FUN] Running grid line #34 of 40... 
[2020-06-29 06:50:07 s.ADDTREE] Hello,  

[2020-06-29 06:50:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:50:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  48
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0588 
Balanced Accuracy  0.5294 
              PPV  0.1864 
              NPV  1.0000 
               F1  0.3143 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:50:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:11 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:11 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.84; User: 5; System: 0.31) 
[2020-06-29 06:50:11 FUN] Running grid line #35 of 40... 
[2020-06-29 06:50:11 s.ADDTREE] Hello,  

[2020-06-29 06:50:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:50:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  48
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0588 
Balanced Accuracy  0.5294 
              PPV  0.1864 
              NPV  1.0000 
               F1  0.3143 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:50:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:15 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.05; User: 4.83; System: 0.28) 
[2020-06-29 06:50:16 FUN] Running grid line #36 of 40... 
[2020-06-29 06:50:16 s.ADDTREE] Hello,  

[2020-06-29 06:50:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:50:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0192 
Balanced Accuracy  0.5096 
              PPV  0.1774 
              NPV  1.0000 
               F1  0.3014 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.4000 
Balanced Accuracy  0.7000 
              PPV  0.2500 
              NPV  1.0000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 06:50:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:19 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:19 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.83; User: 4.47; System: 0.33) 
[2020-06-29 06:50:20 FUN] Running grid line #37 of 40... 
[2020-06-29 06:50:20 s.ADDTREE] Hello,  

[2020-06-29 06:50:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:50:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  48
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0588 
Balanced Accuracy  0.5294 
              PPV  0.1864 
              NPV  1.0000 
               F1  0.3143 
         Accuracy  0.2258 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:50:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:23 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:24 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.06; User: 5.14; System: 0.35) 
[2020-06-29 06:50:24 FUN] Running grid line #38 of 40... 
[2020-06-29 06:50:24 s.ADDTREE] Hello,  

[2020-06-29 06:50:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:50:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0577 
Balanced Accuracy  0.5288 
              PPV  0.1833 
              NPV  1.0000 
               F1  0.3099 
         Accuracy  0.2222 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:50:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:28 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:28 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.24; User: 5.03; System: 0.33) 
[2020-06-29 06:50:28 FUN] Running grid line #39 of 40... 
[2020-06-29 06:50:28 s.ADDTREE] Hello,  

[2020-06-29 06:50:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:50:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1803 
              NPV  1.0000 
               F1  0.3056 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:50:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:32 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:32 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.21; User: 5.11; System: 0.34) 
[2020-06-29 06:50:32 FUN] Running grid line #40 of 40... 
[2020-06-29 06:50:32 s.ADDTREE] Hello,  

[2020-06-29 06:50:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:50:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1667 
              NPV  1.0000 
               F1  0.2857 
         Accuracy  0.1803 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:50:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:36 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:37 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.31; User: 5.50; System: 0.44) 
[2020-06-29 06:50:44 FUN] Running grid line #1 of 40... 
[2020-06-29 06:50:45 s.ADDTREE] Hello,  

[2020-06-29 06:50:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:50:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   1  46

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9200 
Balanced Accuracy  0.9145 
              PPV  0.7143 
              NPV  0.9787 
               F1  0.8000 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:50:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:50:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:50:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:50:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:50:55 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.48; User: 16.80; System: 0.76) 
[2020-06-29 06:50:55 FUN] Running grid line #2 of 40... 
[2020-06-29 06:50:55 s.ADDTREE] Hello,  

[2020-06-29 06:50:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:50:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8800 
Balanced Accuracy  0.9400 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:51:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:04 s.ADDTREE] Pruning tree... 

[2020-06-29 06:51:05 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.12; User: 16.08; System: 0.55) 
[2020-06-29 06:51:05 FUN] Running grid line #3 of 40... 
[2020-06-29 06:51:05 s.ADDTREE] Hello,  

[2020-06-29 06:51:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:51:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:51:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:14 s.ADDTREE] Pruning tree... 

[2020-06-29 06:51:15 s.ADDTREE] Run completed in 0.17 minutes (Real: 10; User: 15.89; System: 0.78) 
[2020-06-29 06:51:15 FUN] Running grid line #4 of 40... 
[2020-06-29 06:51:15 s.ADDTREE] Hello,  

[2020-06-29 06:51:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:51:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   1  44

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8800 
Balanced Accuracy  0.8983 
              PPV  0.6471 
              NPV  0.9778 
               F1  0.7586 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:51:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:51:26 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.81; User: 17.42; System: 0.70) 
[2020-06-29 06:51:26 FUN] Running grid line #5 of 40... 
[2020-06-29 06:51:26 s.ADDTREE] Hello,  

[2020-06-29 06:51:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:51:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6471 
              NPV  1.0000 
               F1  0.7857 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:51:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:51:39 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.47; User: 19.69; System: 0.59) 
[2020-06-29 06:51:39 FUN] Running grid line #6 of 40... 
[2020-06-29 06:51:39 s.ADDTREE] Hello,  

[2020-06-29 06:51:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:51:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   5
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9000 
Balanced Accuracy  0.9500 
              PPV  0.7059 
              NPV  1.0000 
               F1  0.8276 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:51:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:48 s.ADDTREE] Pruning tree... 

[2020-06-29 06:51:50 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.27; User: 18.20; System: 0.61) 
[2020-06-29 06:51:50 FUN] Running grid line #7 of 40... 
[2020-06-29 06:51:50 s.ADDTREE] Hello,  

[2020-06-29 06:51:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:51:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9048 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:51:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:51:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:51:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:51:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:01 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.36; User: 16.34; System: 0.59) 
[2020-06-29 06:52:01 FUN] Running grid line #8 of 40... 
[2020-06-29 06:52:01 s.ADDTREE] Hello,  

[2020-06-29 06:52:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:52:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   7
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8600 
Balanced Accuracy  0.9300 
              PPV  0.6316 
              NPV  1.0000 
               F1  0.7742 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  1  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.7500 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 06:52:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:52:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:52:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:52:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:10 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.35; User: 13.28; System: 0.50) 
[2020-06-29 06:52:10 FUN] Running grid line #9 of 40... 
[2020-06-29 06:52:10 s.ADDTREE] Hello,  

[2020-06-29 06:52:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:52:11 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  47

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9216 
Balanced Accuracy  0.9191 
              PPV  0.7333 
              NPV  0.9792 
               F1  0.8148 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:52:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:52:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:52:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:52:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:23 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.50; User: 20.19; System: 0.78) 
[2020-06-29 06:52:23 FUN] Running grid line #10 of 40... 
[2020-06-29 06:52:23 s.ADDTREE] Hello,  

[2020-06-29 06:52:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:52:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   1  46

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9200 
Balanced Accuracy  0.9145 
              PPV  0.7143 
              NPV  0.9787 
               F1  0.8000 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:52:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:52:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:52:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:52:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:31 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.32; User: 12.37; System: 0.46) 
[2020-06-29 06:52:31 FUN] Running grid line #11 of 40... 
[2020-06-29 06:52:31 s.ADDTREE] Hello,  

[2020-06-29 06:52:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:52:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:52:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:52:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:52:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:52:43 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:46 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.53; User: 24.25; System: 0.97) 
[2020-06-29 06:52:46 FUN] Running grid line #12 of 40... 
[2020-06-29 06:52:46 s.ADDTREE] Hello,  

[2020-06-29 06:52:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:52:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:52:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:52:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:52:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:52:56 s.ADDTREE] Pruning tree... 

[2020-06-29 06:52:59 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.50; User: 20.41; System: 0.67) 
[2020-06-29 06:52:59 FUN] Running grid line #13 of 40... 
[2020-06-29 06:52:59 s.ADDTREE] Hello,  

[2020-06-29 06:52:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:52:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:53:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:53:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:53:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:53:10 s.ADDTREE] Pruning tree... 

[2020-06-29 06:53:13 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.50; User: 22.22; System: 0.88) 
[2020-06-29 06:53:13 FUN] Running grid line #14 of 40... 
[2020-06-29 06:53:13 s.ADDTREE] Hello,  

[2020-06-29 06:53:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:53:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:53:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:53:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:53:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:53:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:53:28 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.78; User: 24.14; System: 0.96) 
[2020-06-29 06:53:28 FUN] Running grid line #15 of 40... 
[2020-06-29 06:53:28 s.ADDTREE] Hello,  

[2020-06-29 06:53:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:53:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:53:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:53:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:53:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:53:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:53:42 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.42; User: 21.84; System: 0.90) 
[2020-06-29 06:53:42 FUN] Running grid line #16 of 40... 
[2020-06-29 06:53:42 s.ADDTREE] Hello,  

[2020-06-29 06:53:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:53:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:53:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:53:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:53:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:53:52 s.ADDTREE] Pruning tree... 

[2020-06-29 06:53:54 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.56; User: 20.72; System: 0.64) 
[2020-06-29 06:53:54 FUN] Running grid line #17 of 40... 
[2020-06-29 06:53:55 s.ADDTREE] Hello,  

[2020-06-29 06:53:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:53:55 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:54:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:54:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:54:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:54:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:54:09 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.55; User: 23.23; System: 0.64) 
[2020-06-29 06:54:09 FUN] Running grid line #18 of 40... 
[2020-06-29 06:54:09 s.ADDTREE] Hello,  

[2020-06-29 06:54:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:54:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  50

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:54:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:54:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:54:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:54:18 s.ADDTREE] Pruning tree... 

[2020-06-29 06:54:19 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.13; User: 15.25; System: 0.71) 
[2020-06-29 06:54:19 FUN] Running grid line #19 of 40... 
[2020-06-29 06:54:20 s.ADDTREE] Hello,  

[2020-06-29 06:54:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:54:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:54:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:54:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:54:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:54:32 s.ADDTREE] Pruning tree... 

[2020-06-29 06:54:35 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.83; User: 26.24; System: 0.83) 
[2020-06-29 06:54:35 FUN] Running grid line #20 of 40... 
[2020-06-29 06:54:36 s.ADDTREE] Hello,  

[2020-06-29 06:54:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:54:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   1  48

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9600 
Balanced Accuracy  0.9345 
              PPV  0.8333 
              NPV  0.9796 
               F1  0.8696 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:54:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:54:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:54:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:54:44 s.ADDTREE] Pruning tree... 

[2020-06-29 06:54:46 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.47; User: 16.53; System: 0.83) 
[2020-06-29 06:54:46 FUN] Running grid line #21 of 40... 
[2020-06-29 06:54:46 s.ADDTREE] Hello,  

[2020-06-29 06:54:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:54:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:54:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:54:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:54:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:54:54 s.ADDTREE] Pruning tree... 

[2020-06-29 06:54:55 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.06; User: 13.75; System: 0.67) 
[2020-06-29 06:54:55 FUN] Running grid line #22 of 40... 
[2020-06-29 06:54:55 s.ADDTREE] Hello,  

[2020-06-29 06:54:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:54:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:55:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:02 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:04 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.56; User: 13.41; System: 0.33) 
[2020-06-29 06:55:04 FUN] Running grid line #23 of 40... 
[2020-06-29 06:55:04 s.ADDTREE] Hello,  

[2020-06-29 06:55:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:55:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   2  49

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9608 
Balanced Accuracy  0.8971 
              PPV  0.8333 
              NPV  0.9608 
               F1  0.8333 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:55:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:10 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.86; User: 8.47; System: 0.42) 
[2020-06-29 06:55:10 FUN] Running grid line #24 of 40... 
[2020-06-29 06:55:10 s.ADDTREE] Hello,  

[2020-06-29 06:55:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:55:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:55:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:16 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:18 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.66; User: 11.28; System: 0.58) 
[2020-06-29 06:55:18 FUN] Running grid line #25 of 40... 
[2020-06-29 06:55:18 s.ADDTREE] Hello,  

[2020-06-29 06:55:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:55:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:55:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:24 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:25 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.17; User: 10.40; System: 0.59) 
[2020-06-29 06:55:25 FUN] Running grid line #26 of 40... 
[2020-06-29 06:55:25 s.ADDTREE] Hello,  

[2020-06-29 06:55:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:55:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   2  48

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9600 
Balanced Accuracy  0.8967 
              PPV  0.8333 
              NPV  0.9600 
               F1  0.8333 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:55:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:32 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:33 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.11; User: 12.44; System: 0.42) 
[2020-06-29 06:55:33 FUN] Running grid line #27 of 40... 
[2020-06-29 06:55:33 s.ADDTREE] Hello,  

[2020-06-29 06:55:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:55:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   2  49

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9608 
Balanced Accuracy  0.8971 
              PPV  0.8333 
              NPV  0.9608 
               F1  0.8333 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:55:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:38 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:38 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:39 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:40 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.58; User: 9.79; System: 0.47) 
[2020-06-29 06:55:40 FUN] Running grid line #28 of 40... 
[2020-06-29 06:55:40 s.ADDTREE] Hello,  

[2020-06-29 06:55:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:55:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  50

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:55:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:46 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:47 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.70; User: 9.58; System: 0.46) 
[2020-06-29 06:55:47 FUN] Running grid line #29 of 40... 
[2020-06-29 06:55:47 s.ADDTREE] Hello,  

[2020-06-29 06:55:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:55:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  4

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8000 
Balanced Accuracy  0.4000 
              PPV  0.0000 
              NPV  0.8000 
               F1  NA     
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:55:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:53 s.ADDTREE] Pruning tree... 

[2020-06-29 06:55:54 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.07; User: 10.59; System: 0.42) 
[2020-06-29 06:55:54 FUN] Running grid line #30 of 40... 
[2020-06-29 06:55:54 s.ADDTREE] Hello,  

[2020-06-29 06:55:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:55:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:55:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:55:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:55:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:55:59 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:00 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.23; User: 9.06; System: 0.34) 
[2020-06-29 06:56:00 FUN] Running grid line #31 of 40... 
[2020-06-29 06:56:00 s.ADDTREE] Hello,  

[2020-06-29 06:56:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:56:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  4  43
                0  7   7

                   Overall  
      Sensitivity  0.3636 
      Specificity  0.1400 
Balanced Accuracy  0.2518 
              PPV  0.0851 
              NPV  0.5000 
               F1  0.1379 
         Accuracy  0.1803 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  2  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.1250 

  Positive Class:  1 
[2020-06-29 06:56:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:04 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:05 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.12; User: 5.11; System: 0.39) 
[2020-06-29 06:56:05 FUN] Running grid line #32 of 40... 
[2020-06-29 06:56:05 s.ADDTREE] Hello,  

[2020-06-29 06:56:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:56:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  46
                0   1   4

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.0800 
Balanced Accuracy  0.4983 
              PPV  0.1930 
              NPV  0.8000 
               F1  0.3188 
         Accuracy  0.2419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:56:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:09 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:10 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.85; User: 6.05; System: 0.38) 
[2020-06-29 06:56:10 FUN] Running grid line #33 of 40... 
[2020-06-29 06:56:10 s.ADDTREE] Hello,  

[2020-06-29 06:56:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:56:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  6  45
                0  6   6

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.1176 
Balanced Accuracy  0.3088 
              PPV  0.1176 
              NPV  0.5000 
               F1  0.1905 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 06:56:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:13 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:13 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.79; User: 4.38; System: 0.37) 
[2020-06-29 06:56:14 FUN] Running grid line #34 of 40... 
[2020-06-29 06:56:14 s.ADDTREE] Hello,  

[2020-06-29 06:56:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:56:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  3  43
                0  9   7

                   Overall  
      Sensitivity  0.2500 
      Specificity  0.1400 
Balanced Accuracy  0.1950 
              PPV  0.0652 
              NPV  0.4375 
               F1  0.1034 
         Accuracy  0.1613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  6
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 06:56:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:17 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:18 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.28; User: 5.36; System: 0.21) 
[2020-06-29 06:56:18 FUN] Running grid line #35 of 40... 
[2020-06-29 06:56:18 s.ADDTREE] Hello,  

[2020-06-29 06:56:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:56:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2857 
              NPV  NA     
               F1  0.4444 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 06:56:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:21 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:22 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.72; User: 4.25; System: 0.37) 
[2020-06-29 06:56:22 FUN] Running grid line #36 of 40... 
[2020-06-29 06:56:22 s.ADDTREE] Hello,  

[2020-06-29 06:56:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:56:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  7  46
                0  5   4

                   Overall  
      Sensitivity  0.5833 
      Specificity  0.0800 
Balanced Accuracy  0.3317 
              PPV  0.1321 
              NPV  0.4444 
               F1  0.2154 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:56:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:26 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.92; User: 4.94; System: 0.34) 
[2020-06-29 06:56:26 FUN] Running grid line #37 of 40... 
[2020-06-29 06:56:26 s.ADDTREE] Hello,  

[2020-06-29 06:56:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:56:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  7  46
                0  5   5

                   Overall  
      Sensitivity  0.5833 
      Specificity  0.0980 
Balanced Accuracy  0.3407 
              PPV  0.1321 
              NPV  0.5000 
               F1  0.2154 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 06:56:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:30 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:30 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.10; User: 4.98; System: 0.33) 
[2020-06-29 06:56:30 FUN] Running grid line #38 of 40... 
[2020-06-29 06:56:30 s.ADDTREE] Hello,  

[2020-06-29 06:56:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:56:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1935 
              NPV  NA     
               F1  0.3243 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 06:56:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:34 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:34 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.17; User: 4.63; System: 0.45) 
[2020-06-29 06:56:34 FUN] Running grid line #39 of 40... 
[2020-06-29 06:56:34 s.ADDTREE] Hello,  

[2020-06-29 06:56:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:56:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  42
                0  11   9

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1765 
Balanced Accuracy  0.1299 
              PPV  0.0233 
              NPV  0.4500 
               F1  0.0364 
         Accuracy  0.1587 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 06:56:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:38 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:38 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.38; User: 3.92; System: 0.27) 
[2020-06-29 06:56:38 FUN] Running grid line #40 of 40... 
[2020-06-29 06:56:38 s.ADDTREE] Hello,  

[2020-06-29 06:56:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:56:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  10   4

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.0800 
Balanced Accuracy  0.0855 
              PPV  0.0213 
              NPV  0.2857 
               F1  0.0345 
         Accuracy  0.0820 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  1  1

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.1667 
Balanced Accuracy  0.3333 
              PPV  0.1667 
              NPV  0.5000 
               F1  0.2500 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 06:56:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:42 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:42 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.11; User: 4.95; System: 0.31) 
[2020-06-29 06:56:51 FUN] Running grid line #1 of 40... 
[2020-06-29 06:56:51 s.ADDTREE] Hello,  

[2020-06-29 06:56:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:56:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   1  48

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9412 
Balanced Accuracy  0.9251 
              PPV  0.7692 
              NPV  0.9796 
               F1  0.8333 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:56:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:56:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:56:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:56:58 s.ADDTREE] Pruning tree... 

[2020-06-29 06:56:59 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.03; User: 12.57; System: 0.44) 
[2020-06-29 06:56:59 FUN] Running grid line #2 of 40... 
[2020-06-29 06:57:00 s.ADDTREE] Hello,  

[2020-06-29 06:57:00 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:57:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  47

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9216 
Balanced Accuracy  0.9191 
              PPV  0.7333 
              NPV  0.9792 
               F1  0.8148 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:57:04 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:08 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.19; User: 12.38; System: 0.62) 
[2020-06-29 06:57:08 FUN] Running grid line #3 of 40... 
[2020-06-29 06:57:08 s.ADDTREE] Hello,  

[2020-06-29 06:57:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:57:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9423 
Balanced Accuracy  0.9295 
              PPV  0.7857 
              NPV  0.9800 
               F1  0.8462 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 06:57:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:16 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.67; User: 11.50; System: 0.34) 
[2020-06-29 06:57:16 FUN] Running grid line #4 of 40... 
[2020-06-29 06:57:16 s.ADDTREE] Hello,  

[2020-06-29 06:57:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:57:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  47

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9216 
Balanced Accuracy  0.9191 
              PPV  0.7333 
              NPV  0.9792 
               F1  0.8148 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:57:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:23 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:24 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.35; User: 12.46; System: 0.70) 
[2020-06-29 06:57:24 FUN] Running grid line #5 of 40... 
[2020-06-29 06:57:24 s.ADDTREE] Hello,  

[2020-06-29 06:57:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:57:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   7
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8627 
Balanced Accuracy  0.9314 
              PPV  0.6111 
              NPV  1.0000 
               F1  0.7586 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:57:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:33 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:34 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.08; User: 15.53; System: 0.61) 
[2020-06-29 06:57:34 FUN] Running grid line #6 of 40... 
[2020-06-29 06:57:34 s.ADDTREE] Hello,  

[2020-06-29 06:57:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:57:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  48

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9231 
Balanced Accuracy  0.9199 
              PPV  0.7333 
              NPV  0.9796 
               F1  0.8148 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:57:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:42 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:43 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.81; User: 13.13; System: 0.56) 
[2020-06-29 06:57:43 FUN] Running grid line #7 of 40... 
[2020-06-29 06:57:43 s.ADDTREE] Hello,  

[2020-06-29 06:57:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:57:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 06:57:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:49 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:50 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.98; User: 10.41; System: 0.36) 
[2020-06-29 06:57:50 FUN] Running grid line #8 of 40... 
[2020-06-29 06:57:50 s.ADDTREE] Hello,  

[2020-06-29 06:57:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:57:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   1  48

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9231 
Balanced Accuracy  0.9199 
              PPV  0.7333 
              NPV  0.9796 
               F1  0.8148 
         Accuracy  0.9219 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:57:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:57:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:57:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:57:57 s.ADDTREE] Pruning tree... 

[2020-06-29 06:57:58 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.91; User: 12.28; System: 0.43) 
[2020-06-29 06:57:58 FUN] Running grid line #9 of 40... 
[2020-06-29 06:57:58 s.ADDTREE] Hello,  

[2020-06-29 06:57:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:57:59 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   1  48

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9412 
Balanced Accuracy  0.9289 
              PPV  0.7857 
              NPV  0.9796 
               F1  0.8462 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:58:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:05 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:07 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.20; User: 12.33; System: 0.70) 
[2020-06-29 06:58:07 FUN] Running grid line #10 of 40... 
[2020-06-29 06:58:07 s.ADDTREE] Hello,  

[2020-06-29 06:58:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:58:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   1  47

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9216 
Balanced Accuracy  0.9153 
              PPV  0.7143 
              NPV  0.9792 
               F1  0.8000 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:58:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:15 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:16 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.94; User: 13.58; System: 0.58) 
[2020-06-29 06:58:16 FUN] Running grid line #11 of 40... 
[2020-06-29 06:58:16 s.ADDTREE] Hello,  

[2020-06-29 06:58:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:58:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   1  50

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9804 
Balanced Accuracy  0.9447 
              PPV  0.9091 
              NPV  0.9804 
               F1  0.9091 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 06:58:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:25 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:26 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.61; User: 16.66; System: 0.56) 
[2020-06-29 06:58:27 FUN] Running grid line #12 of 40... 
[2020-06-29 06:58:27 s.ADDTREE] Hello,  

[2020-06-29 06:58:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:58:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  50

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9804 
Balanced Accuracy  0.9485 
              PPV  0.9167 
              NPV  0.9804 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:58:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:35 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:37 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.13; User: 15.33; System: 0.76) 
[2020-06-29 06:58:37 FUN] Running grid line #13 of 40... 
[2020-06-29 06:58:37 s.ADDTREE] Hello,  

[2020-06-29 06:58:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:58:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  51

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9808 
Balanced Accuracy  0.9487 
              PPV  0.9167 
              NPV  0.9808 
               F1  0.9167 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:58:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:46 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:48 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.85; User: 16.50; System: 0.68) 
[2020-06-29 06:58:48 FUN] Running grid line #14 of 40... 
[2020-06-29 06:58:48 s.ADDTREE] Hello,  

[2020-06-29 06:58:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:58:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  50

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9804 
Balanced Accuracy  0.9485 
              PPV  0.9167 
              NPV  0.9804 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:58:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:58:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:58:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:58:56 s.ADDTREE] Pruning tree... 

[2020-06-29 06:58:57 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.44; User: 14.85; System: 0.63) 
[2020-06-29 06:58:57 FUN] Running grid line #15 of 40... 
[2020-06-29 06:58:57 s.ADDTREE] Hello,  

[2020-06-29 06:58:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:58:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 06:59:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:06 s.ADDTREE] Pruning tree... 

[2020-06-29 06:59:08 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.73; User: 17.48; System: 0.58) 
[2020-06-29 06:59:08 FUN] Running grid line #16 of 40... 
[2020-06-29 06:59:08 s.ADDTREE] Hello,  

[2020-06-29 06:59:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:59:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  51

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9808 
Balanced Accuracy  0.9487 
              PPV  0.9167 
              NPV  0.9808 
               F1  0.9167 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:59:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:17 s.ADDTREE] Pruning tree... 

[2020-06-29 06:59:19 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.37; User: 16.39; System: 0.70) 
[2020-06-29 06:59:19 FUN] Running grid line #17 of 40... 
[2020-06-29 06:59:19 s.ADDTREE] Hello,  

[2020-06-29 06:59:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:59:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:59:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:26 s.ADDTREE] Pruning tree... 

[2020-06-29 06:59:27 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.69; User: 13.15; System: 0.61) 
[2020-06-29 06:59:28 FUN] Running grid line #18 of 40... 
[2020-06-29 06:59:28 s.ADDTREE] Hello,  

[2020-06-29 06:59:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 06:59:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  51

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9808 
Balanced Accuracy  0.9487 
              PPV  0.9167 
              NPV  0.9808 
               F1  0.9167 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:59:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:37 s.ADDTREE] Pruning tree... 

[2020-06-29 06:59:38 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.91; User: 17.16; System: 0.67) 
[2020-06-29 06:59:39 FUN] Running grid line #19 of 40... 
[2020-06-29 06:59:39 s.ADDTREE] Hello,  

[2020-06-29 06:59:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 06:59:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   0
                0   1  51

                   Overall  
      Sensitivity  0.9167 
      Specificity  1.0000 
Balanced Accuracy  0.9583 
              PPV  1.0000 
              NPV  0.9808 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 06:59:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:47 s.ADDTREE] Pruning tree... 

[2020-06-29 06:59:49 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.23; User: 16.36; System: 0.72) 
[2020-06-29 06:59:49 FUN] Running grid line #20 of 40... 
[2020-06-29 06:59:49 s.ADDTREE] Hello,  

[2020-06-29 06:59:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 06:59:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 06:59:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 06:59:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 06:59:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 06:59:59 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:01 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.30; User: 20.06; System: 0.96) 
[2020-06-29 07:00:01 FUN] Running grid line #21 of 40... 
[2020-06-29 07:00:01 s.ADDTREE] Hello,  

[2020-06-29 07:00:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:00:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:00:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:09 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.19; User: 10.67; System: 0.54) 
[2020-06-29 07:00:09 FUN] Running grid line #22 of 40... 
[2020-06-29 07:00:09 s.ADDTREE] Hello,  

[2020-06-29 07:00:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:00:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:00:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:15 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:16 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.46; User: 11.44; System: 0.46) 
[2020-06-29 07:00:16 FUN] Running grid line #23 of 40... 
[2020-06-29 07:00:16 s.ADDTREE] Hello,  

[2020-06-29 07:00:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:00:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:00:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:22 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:24 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.28; User: 10.86; System: 0.47) 
[2020-06-29 07:00:24 FUN] Running grid line #24 of 40... 
[2020-06-29 07:00:24 s.ADDTREE] Hello,  

[2020-06-29 07:00:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:00:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:00:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:30 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:31 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.30; User: 11.16; System: 0.47) 
[2020-06-29 07:00:31 FUN] Running grid line #25 of 40... 
[2020-06-29 07:00:31 s.ADDTREE] Hello,  

[2020-06-29 07:00:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:00:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:00:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:38 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:39 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.33; User: 12.70; System: 0.43) 
[2020-06-29 07:00:39 FUN] Running grid line #26 of 40... 
[2020-06-29 07:00:40 s.ADDTREE] Hello,  

[2020-06-29 07:00:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:00:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:00:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:47 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.38; User: 11.05; System: 0.56) 
[2020-06-29 07:00:47 FUN] Running grid line #27 of 40... 
[2020-06-29 07:00:47 s.ADDTREE] Hello,  

[2020-06-29 07:00:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:00:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:00:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:00:52 s.ADDTREE] Pruning tree... 

[2020-06-29 07:00:53 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.72; User: 8.06; System: 0.39) 
[2020-06-29 07:00:53 FUN] Running grid line #28 of 40... 
[2020-06-29 07:00:53 s.ADDTREE] Hello,  

[2020-06-29 07:00:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:00:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:00:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:00:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:00:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:00 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:01 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 13.17; System: 0.48) 
[2020-06-29 07:01:01 FUN] Running grid line #29 of 40... 
[2020-06-29 07:01:01 s.ADDTREE] Hello,  

[2020-06-29 07:01:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:01:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:01:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:09 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.17; User: 10.44; System: 0.50) 
[2020-06-29 07:01:09 FUN] Running grid line #30 of 40... 
[2020-06-29 07:01:09 s.ADDTREE] Hello,  

[2020-06-29 07:01:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:01:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:01:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:15 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:17 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.90; User: 11.46; System: 0.41) 
[2020-06-29 07:01:17 FUN] Running grid line #31 of 40... 
[2020-06-29 07:01:17 s.ADDTREE] Hello,  

[2020-06-29 07:01:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:01:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  10   5

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.0980 
Balanced Accuracy  0.0945 
              PPV  0.0213 
              NPV  0.3333 
               F1  0.0345 
         Accuracy  0.0968 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  2  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:01:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:21 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:21 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.09; User: 5.06; System: 0.31) 
[2020-06-29 07:01:21 FUN] Running grid line #32 of 40... 
[2020-06-29 07:01:21 s.ADDTREE] Hello,  

[2020-06-29 07:01:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:01:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  46
                0  11   5

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.0980 
Balanced Accuracy  0.0907 
              PPV  0.0213 
              NPV  0.3125 
               F1  0.0339 
         Accuracy  0.0952 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  6
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 07:01:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:25 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:25 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.75; User: 4.44; System: 0.28) 
[2020-06-29 07:01:25 FUN] Running grid line #33 of 40... 
[2020-06-29 07:01:25 s.ADDTREE] Hello,  

[2020-06-29 07:01:25 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:01:25 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  49
                0  11   3

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.0577 
Balanced Accuracy  0.0705 
              PPV  0.0200 
              NPV  0.2143 
               F1  0.0323 
         Accuracy  0.0625 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:01:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:29 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:29 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.03; User: 4.82; System: 0.41) 
[2020-06-29 07:01:29 FUN] Running grid line #34 of 40... 
[2020-06-29 07:01:29 s.ADDTREE] Hello,  

[2020-06-29 07:01:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:01:29 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  11   8

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1569 
Balanced Accuracy  0.1201 
              PPV  0.0227 
              NPV  0.4211 
               F1  0.0357 
         Accuracy  0.1429 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.6667 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 07:01:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:33 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:33 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.79; User: 4.34; System: 0.30) 
[2020-06-29 07:01:33 FUN] Running grid line #35 of 40... 
[2020-06-29 07:01:33 s.ADDTREE] Hello,  

[2020-06-29 07:01:33 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:01:33 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:01:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:36 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:36 s.ADDTREE] Run completed in 0.05 minutes (Real: 3.30; User: 3.68; System: 0.34) 
[2020-06-29 07:01:36 FUN] Running grid line #36 of 40... 
[2020-06-29 07:01:36 s.ADDTREE] Hello,  

[2020-06-29 07:01:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:01:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  11   9

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1731 
Balanced Accuracy  0.1282 
              PPV  0.0227 
              NPV  0.4500 
               F1  0.0357 
         Accuracy  0.1562 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:01:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:40 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:40 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.74; User: 4.45; System: 0.32) 
[2020-06-29 07:01:40 FUN] Running grid line #37 of 40... 
[2020-06-29 07:01:40 s.ADDTREE] Hello,  

[2020-06-29 07:01:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:01:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  44
                0   0   7

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1373 
Balanced Accuracy  0.5686 
              PPV  0.2143 
              NPV  1.0000 
               F1  0.3529 
         Accuracy  0.3016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:01:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:44 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:44 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.59; User: 4.06; System: 0.44) 
[2020-06-29 07:01:44 FUN] Running grid line #38 of 40... 
[2020-06-29 07:01:44 s.ADDTREE] Hello,  

[2020-06-29 07:01:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:01:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  11   9

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1731 
Balanced Accuracy  0.1282 
              PPV  0.0227 
              NPV  0.4500 
               F1  0.0357 
         Accuracy  0.1562 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:01:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:47 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:47 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.42; User: 3.92; System: 0.30) 
[2020-06-29 07:01:47 FUN] Running grid line #39 of 40... 
[2020-06-29 07:01:48 s.ADDTREE] Hello,  

[2020-06-29 07:01:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:01:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  36
                0  11  15

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.2941 
Balanced Accuracy  0.1887 
              PPV  0.0270 
              NPV  0.5769 
               F1  0.0408 
         Accuracy  0.2540 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  1  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.7500 
               F1  NA     
         Accuracy  0.4286 

  Positive Class:  1 
[2020-06-29 07:01:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:51 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:51 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:51 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:51 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.65; User: 4.22; System: 0.34) 
[2020-06-29 07:01:51 FUN] Running grid line #40 of 40... 
[2020-06-29 07:01:51 s.ADDTREE] Hello,  

[2020-06-29 07:01:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:01:52 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  42
                0  10   9

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1765 
Balanced Accuracy  0.1337 
              PPV  0.0233 
              NPV  0.4737 
               F1  0.0370 
         Accuracy  0.1613 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  2  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.3333 
               F1  NA     
         Accuracy  0.1250 

  Positive Class:  1 
[2020-06-29 07:01:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:01:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:01:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:01:55 s.ADDTREE] Pruning tree... 

[2020-06-29 07:01:55 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.67; User: 4.23; System: 0.33) 
[2020-06-29 07:02:02 FUN] Running grid line #1 of 40... 
[2020-06-29 07:02:02 s.ADDTREE] Hello,  

[2020-06-29 07:02:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:02:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:02:07 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:02:08 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:02:08 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:02:10 s.ADDTREE] Pruning tree... 

[2020-06-29 07:02:11 s.ADDTREE] Run completed in 0.15 minutes (Real: 9; User: 13.18; System: 0.77) 
[2020-06-29 07:02:11 FUN] Running grid line #2 of 40... 
[2020-06-29 07:02:11 s.ADDTREE] Hello,  

[2020-06-29 07:02:11 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:02:12 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:02:16 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:02:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:02:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:02:20 s.ADDTREE] Pruning tree... 

[2020-06-29 07:02:23 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.78; User: 16.65; System: 0.77) 
[2020-06-29 07:02:23 FUN] Running grid line #3 of 40... 
[2020-06-29 07:02:23 s.ADDTREE] Hello,  

[2020-06-29 07:02:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:02:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9038 
Balanced Accuracy  0.9519 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9206 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:02:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:02:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:02:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:02:34 s.ADDTREE] Pruning tree... 

[2020-06-29 07:02:36 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.48; User: 20.16; System: 0.82) 
[2020-06-29 07:02:36 FUN] Running grid line #4 of 40... 
[2020-06-29 07:02:36 s.ADDTREE] Hello,  

[2020-06-29 07:02:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:02:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9216 
Balanced Accuracy  0.9608 
              PPV  0.7333 
              NPV  1.0000 
               F1  0.8462 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:02:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:02:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:02:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:02:44 s.ADDTREE] Pruning tree... 

[2020-06-29 07:02:45 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.64; User: 15.70; System: 0.72) 
[2020-06-29 07:02:46 FUN] Running grid line #5 of 40... 
[2020-06-29 07:02:46 s.ADDTREE] Hello,  

[2020-06-29 07:02:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:02:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   4
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9216 
Balanced Accuracy  0.9608 
              PPV  0.7333 
              NPV  1.0000 
               F1  0.8462 
         Accuracy  0.9355 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:02:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:02:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:02:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:02:56 s.ADDTREE] Pruning tree... 

[2020-06-29 07:02:58 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.39; User: 20.06; System: 0.64) 
[2020-06-29 07:02:58 FUN] Running grid line #6 of 40... 
[2020-06-29 07:02:58 s.ADDTREE] Hello,  

[2020-06-29 07:02:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:02:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8462 
Balanced Accuracy  0.9231 
              PPV  0.5789 
              NPV  1.0000 
               F1  0.7333 
         Accuracy  0.8730 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 07:03:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:03:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:03:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:03:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:03:09 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.12; User: 17.99; System: 0.64) 
[2020-06-29 07:03:09 FUN] Running grid line #7 of 40... 
[2020-06-29 07:03:09 s.ADDTREE] Hello,  

[2020-06-29 07:03:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:03:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:03:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:03:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:03:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:03:20 s.ADDTREE] Pruning tree... 

[2020-06-29 07:03:22 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.31; User: 20.23; System: 0.78) 
[2020-06-29 07:03:22 FUN] Running grid line #8 of 40... 
[2020-06-29 07:03:22 s.ADDTREE] Hello,  

[2020-06-29 07:03:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:03:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8269 
Balanced Accuracy  0.9135 
              PPV  0.5500 
              NPV  1.0000 
               F1  0.7097 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:03:28 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:03:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:03:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:03:32 s.ADDTREE] Pruning tree... 

[2020-06-29 07:03:34 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.35; User: 19.62; System: 0.94) 
[2020-06-29 07:03:34 FUN] Running grid line #9 of 40... 
[2020-06-29 07:03:34 s.ADDTREE] Hello,  

[2020-06-29 07:03:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:03:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:03:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:03:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:03:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:03:45 s.ADDTREE] Pruning tree... 

[2020-06-29 07:03:47 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.67; User: 20.34; System: 0.96) 
[2020-06-29 07:03:47 FUN] Running grid line #10 of 40... 
[2020-06-29 07:03:47 s.ADDTREE] Hello,  

[2020-06-29 07:03:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:03:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7692 
              NPV  1.0000 
               F1  0.8696 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:03:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:03:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:03:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:03:55 s.ADDTREE] Pruning tree... 

[2020-06-29 07:03:56 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.75; User: 13.54; System: 0.39) 
[2020-06-29 07:03:56 FUN] Running grid line #11 of 40... 
[2020-06-29 07:03:56 s.ADDTREE] Hello,  

[2020-06-29 07:03:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:03:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:04:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:04:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:04:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:04:03 s.ADDTREE] Pruning tree... 

[2020-06-29 07:04:04 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.25; User: 12.28; System: 0.69) 
[2020-06-29 07:04:04 FUN] Running grid line #12 of 40... 
[2020-06-29 07:04:04 s.ADDTREE] Hello,  

[2020-06-29 07:04:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:04:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:04:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:04:11 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:04:11 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:04:14 s.ADDTREE] Pruning tree... 

[2020-06-29 07:04:16 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.50; User: 17.86; System: 0.83) 
[2020-06-29 07:04:16 FUN] Running grid line #13 of 40... 
[2020-06-29 07:04:16 s.ADDTREE] Hello,  

[2020-06-29 07:04:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:04:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:04:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:04:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:04:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:04:27 s.ADDTREE] Pruning tree... 

[2020-06-29 07:04:29 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.32; User: 21.41; System: 0.78) 
[2020-06-29 07:04:29 FUN] Running grid line #14 of 40... 
[2020-06-29 07:04:29 s.ADDTREE] Hello,  

[2020-06-29 07:04:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:04:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:04:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:04:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:04:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:04:39 s.ADDTREE] Pruning tree... 

[2020-06-29 07:04:41 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.22; User: 17.78; System: 0.63) 
[2020-06-29 07:04:41 FUN] Running grid line #15 of 40... 
[2020-06-29 07:04:41 s.ADDTREE] Hello,  

[2020-06-29 07:04:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:04:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:04:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:04:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:04:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:04:51 s.ADDTREE] Pruning tree... 

[2020-06-29 07:04:53 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.66; User: 20.92; System: 0.79) 
[2020-06-29 07:04:54 FUN] Running grid line #16 of 40... 
[2020-06-29 07:04:54 s.ADDTREE] Hello,  

[2020-06-29 07:04:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:04:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:05:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:05:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:05:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:05:06 s.ADDTREE] Pruning tree... 

[2020-06-29 07:05:09 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.11; User: 23.96; System: 0.86) 
[2020-06-29 07:05:09 FUN] Running grid line #17 of 40... 
[2020-06-29 07:05:09 s.ADDTREE] Hello,  

[2020-06-29 07:05:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:05:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:05:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:05:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:05:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:05:19 s.ADDTREE] Pruning tree... 

[2020-06-29 07:05:21 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.50; User: 20.54; System: 0.58) 
[2020-06-29 07:05:21 FUN] Running grid line #18 of 40... 
[2020-06-29 07:05:21 s.ADDTREE] Hello,  

[2020-06-29 07:05:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:05:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9423 
Balanced Accuracy  0.9712 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:05:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:05:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:05:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:05:34 s.ADDTREE] Pruning tree... 

[2020-06-29 07:05:37 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.40; User: 25.77; System: 0.72) 
[2020-06-29 07:05:37 FUN] Running grid line #19 of 40... 
[2020-06-29 07:05:37 s.ADDTREE] Hello,  

[2020-06-29 07:05:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:05:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:05:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:05:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:05:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:05:48 s.ADDTREE] Pruning tree... 

[2020-06-29 07:05:50 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.22; User: 21.58; System: 0.74) 
[2020-06-29 07:05:50 FUN] Running grid line #20 of 40... 
[2020-06-29 07:05:50 s.ADDTREE] Hello,  

[2020-06-29 07:05:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:05:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:05:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:05:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:05:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:05:59 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:01 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.11; User: 16.28; System: 0.60) 
[2020-06-29 07:06:01 FUN] Running grid line #21 of 40... 
[2020-06-29 07:06:01 s.ADDTREE] Hello,  

[2020-06-29 07:06:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:06:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:06:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:06 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:08 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.98; User: 10.30; System: 0.61) 
[2020-06-29 07:06:08 FUN] Running grid line #22 of 40... 
[2020-06-29 07:06:08 s.ADDTREE] Hello,  

[2020-06-29 07:06:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:06:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:06:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:13 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:15 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.75; User: 10.01; System: 0.49) 
[2020-06-29 07:06:15 FUN] Running grid line #23 of 40... 
[2020-06-29 07:06:15 s.ADDTREE] Hello,  

[2020-06-29 07:06:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:06:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:06:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:21 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:23 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.89; User: 11.80; System: 0.53) 
[2020-06-29 07:06:23 FUN] Running grid line #24 of 40... 
[2020-06-29 07:06:23 s.ADDTREE] Hello,  

[2020-06-29 07:06:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:06:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:06:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:29 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:31 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.10; User: 12.20; System: 0.59) 
[2020-06-29 07:06:31 FUN] Running grid line #25 of 40... 
[2020-06-29 07:06:31 s.ADDTREE] Hello,  

[2020-06-29 07:06:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:06:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:06:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:39 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.65; User: 11.60; System: 0.51) 
[2020-06-29 07:06:39 FUN] Running grid line #26 of 40... 
[2020-06-29 07:06:39 s.ADDTREE] Hello,  

[2020-06-29 07:06:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:06:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:06:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:47 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.81; User: 13.77; System: 0.56) 
[2020-06-29 07:06:48 FUN] Running grid line #27 of 40... 
[2020-06-29 07:06:48 s.ADDTREE] Hello,  

[2020-06-29 07:06:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:06:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:06:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:06:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:06:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:06:55 s.ADDTREE] Pruning tree... 

[2020-06-29 07:06:56 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.34; User: 12.80; System: 0.60) 
[2020-06-29 07:06:56 FUN] Running grid line #28 of 40... 
[2020-06-29 07:06:56 s.ADDTREE] Hello,  

[2020-06-29 07:06:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:06:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:07:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:04 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:05 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.25; User: 14.50; System: 0.48) 
[2020-06-29 07:07:05 FUN] Running grid line #29 of 40... 
[2020-06-29 07:07:05 s.ADDTREE] Hello,  

[2020-06-29 07:07:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:07:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:12 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:13 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.82; User: 12.07; System: 0.50) 
[2020-06-29 07:07:13 FUN] Running grid line #30 of 40... 
[2020-06-29 07:07:13 s.ADDTREE] Hello,  

[2020-06-29 07:07:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:07:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:07:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:18 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:18 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.61; User: 5.94; System: 0.44) 
[2020-06-29 07:07:18 FUN] Running grid line #31 of 40... 
[2020-06-29 07:07:18 s.ADDTREE] Hello,  

[2020-06-29 07:07:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:07:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  46
                0   0   5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0980 
Balanced Accuracy  0.5490 
              PPV  0.1786 
              NPV  1.0000 
               F1  0.3030 
         Accuracy  0.2459 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.2857 
              NPV  1.0000 
               F1  0.4444 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 07:07:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:22 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:22 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.97; User: 5.07; System: 0.45) 
[2020-06-29 07:07:22 FUN] Running grid line #32 of 40... 
[2020-06-29 07:07:22 s.ADDTREE] Hello,  

[2020-06-29 07:07:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:07:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:26 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:26 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.71; User: 4.37; System: 0.47) 
[2020-06-29 07:07:26 FUN] Running grid line #33 of 40... 
[2020-06-29 07:07:26 s.ADDTREE] Hello,  

[2020-06-29 07:07:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:07:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  52
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1746 
              NPV  NA     
               F1  0.2973 
         Accuracy  0.1746 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:07:29 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:29 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:29 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:29 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:30 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.55; User: 3.97; System: 0.37) 
[2020-06-29 07:07:30 FUN] Running grid line #34 of 40... 
[2020-06-29 07:07:30 s.ADDTREE] Hello,  

[2020-06-29 07:07:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:07:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:33 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:34 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.92; User: 4.31; System: 0.28) 
[2020-06-29 07:07:34 FUN] Running grid line #35 of 40... 
[2020-06-29 07:07:34 s.ADDTREE] Hello,  

[2020-06-29 07:07:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  46
                0   0   5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0980 
Balanced Accuracy  0.5490 
              PPV  0.1930 
              NPV  1.0000 
               F1  0.3235 
         Accuracy  0.2581 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:07:37 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:37 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:37 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:38 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.86; User: 4.61; System: 0.36) 
[2020-06-29 07:07:38 FUN] Running grid line #36 of 40... 
[2020-06-29 07:07:38 s.ADDTREE] Hello,  

[2020-06-29 07:07:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:07:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  44
                0  10   8

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1538 
Balanced Accuracy  0.1224 
              PPV  0.0222 
              NPV  0.4444 
               F1  0.0357 
         Accuracy  0.1429 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  1  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.4000 
Balanced Accuracy  0.2000 
              PPV  0.0000 
              NPV  0.6667 
               F1  NA     
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 07:07:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:41 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:41 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:41 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:42 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.77; User: 4.62; System: 0.19) 
[2020-06-29 07:07:42 FUN] Running grid line #37 of 40... 
[2020-06-29 07:07:42 s.ADDTREE] Hello,  

[2020-06-29 07:07:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:07:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:45 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:45 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.73; User: 4.37; System: 0.18) 
[2020-06-29 07:07:45 FUN] Running grid line #38 of 40... 
[2020-06-29 07:07:46 s.ADDTREE] Hello,  

[2020-06-29 07:07:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:07:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  52
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1746 
              NPV  NA     
               F1  0.2973 
         Accuracy  0.1746 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:07:49 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:49 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:49 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.75; User: 4.21; System: 0.36) 
[2020-06-29 07:07:49 FUN] Running grid line #39 of 40... 
[2020-06-29 07:07:49 s.ADDTREE] Hello,  

[2020-06-29 07:07:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:07:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:07:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:53 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:53 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.41; User: 4.07; System: 0.30) 
[2020-06-29 07:07:53 FUN] Running grid line #40 of 40... 
[2020-06-29 07:07:53 s.ADDTREE] Hello,  

[2020-06-29 07:07:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:07:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  48
                0   0   3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0588 
Balanced Accuracy  0.5294 
              PPV  0.1724 
              NPV  1.0000 
               F1  0.2941 
         Accuracy  0.2131 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:07:56 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:07:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:07:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:07:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:07:57 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.03; User: 5.06; System: 0.30) 
[2020-06-29 07:08:08 FUN] Running grid line #1 of 40... 
[2020-06-29 07:08:08 s.ADDTREE] Hello,  

[2020-06-29 07:08:08 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:08:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  10
                0   0  41

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8039 
Balanced Accuracy  0.9020 
              PPV  0.5238 
              NPV  1.0000 
               F1  0.6875 
         Accuracy  0.8387 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  4
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.3333 
Balanced Accuracy  0.6667 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 07:08:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:08:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:08:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:08:17 s.ADDTREE] Pruning tree... 

[2020-06-29 07:08:18 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.34; User: 14.06; System: 0.80) 
[2020-06-29 07:08:18 FUN] Running grid line #2 of 40... 
[2020-06-29 07:08:18 s.ADDTREE] Hello,  

[2020-06-29 07:08:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:08:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   2  49

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9608 
Balanced Accuracy  0.8971 
              PPV  0.8333 
              NPV  0.9608 
               F1  0.8333 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:08:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:08:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:08:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:08:28 s.ADDTREE] Pruning tree... 

[2020-06-29 07:08:30 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.09; User: 16.80; System: 0.72) 
[2020-06-29 07:08:30 FUN] Running grid line #3 of 40... 
[2020-06-29 07:08:30 s.ADDTREE] Hello,  

[2020-06-29 07:08:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:08:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   4
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9231 
Balanced Accuracy  0.9615 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:08:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:08:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:08:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:08:40 s.ADDTREE] Pruning tree... 

[2020-06-29 07:08:42 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.96; User: 17.87; System: 0.64) 
[2020-06-29 07:08:42 FUN] Running grid line #4 of 40... 
[2020-06-29 07:08:42 s.ADDTREE] Hello,  

[2020-06-29 07:08:42 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:08:42 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9608 
Balanced Accuracy  0.9387 
              PPV  0.8462 
              NPV  0.9800 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:08:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:08:49 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:08:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:08:53 s.ADDTREE] Pruning tree... 

[2020-06-29 07:08:56 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.25; User: 22.92; System: 0.93) 
[2020-06-29 07:08:56 FUN] Running grid line #5 of 40... 
[2020-06-29 07:08:56 s.ADDTREE] Hello,  

[2020-06-29 07:08:56 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:08:57 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9020 
Balanced Accuracy  0.9510 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9194 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:09:02 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:06 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:08 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.28; User: 19.33; System: 0.87) 
[2020-06-29 07:09:09 FUN] Running grid line #6 of 40... 
[2020-06-29 07:09:09 s.ADDTREE] Hello,  

[2020-06-29 07:09:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:09:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   6
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8846 
Balanced Accuracy  0.9423 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.9062 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:09:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:18 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:20 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.50; User: 18; System: 0.75) 
[2020-06-29 07:09:20 FUN] Running grid line #7 of 40... 
[2020-06-29 07:09:20 s.ADDTREE] Hello,  

[2020-06-29 07:09:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:09:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   4
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9216 
Balanced Accuracy  0.9608 
              PPV  0.7500 
              NPV  1.0000 
               F1  0.8571 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:09:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:26 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:26 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:28 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:30 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.68; User: 15.21; System: 0.67) 
[2020-06-29 07:09:30 FUN] Running grid line #8 of 40... 
[2020-06-29 07:09:30 s.ADDTREE] Hello,  

[2020-06-29 07:09:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:09:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9423 
Balanced Accuracy  0.9295 
              PPV  0.7857 
              NPV  0.9800 
               F1  0.8462 
         Accuracy  0.9375 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:09:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:38 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.08; User: 11.78; System: 0.58) 
[2020-06-29 07:09:38 FUN] Running grid line #9 of 40... 
[2020-06-29 07:09:38 s.ADDTREE] Hello,  

[2020-06-29 07:09:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:09:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   1  48

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9412 
Balanced Accuracy  0.9289 
              PPV  0.7857 
              NPV  0.9796 
               F1  0.8462 
         Accuracy  0.9365 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:09:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:47 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.05; User: 12.97; System: 0.76) 
[2020-06-29 07:09:47 FUN] Running grid line #10 of 40... 
[2020-06-29 07:09:47 s.ADDTREE] Hello,  

[2020-06-29 07:09:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:09:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   7
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8627 
Balanced Accuracy  0.9314 
              PPV  0.6111 
              NPV  1.0000 
               F1  0.7586 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:09:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:09:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:09:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:09:56 s.ADDTREE] Pruning tree... 

[2020-06-29 07:09:57 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.86; User: 15.23; System: 0.86) 
[2020-06-29 07:09:57 FUN] Running grid line #11 of 40... 
[2020-06-29 07:09:57 s.ADDTREE] Hello,  

[2020-06-29 07:09:57 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:09:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:10:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:10:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:10:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:10:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:10:09 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.58; User: 18.70; System: 0.66) 
[2020-06-29 07:10:09 FUN] Running grid line #12 of 40... 
[2020-06-29 07:10:09 s.ADDTREE] Hello,  

[2020-06-29 07:10:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:10:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.8000 
              NPV  1.0000 
               F1  0.8889 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:10:15 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:10:16 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:10:16 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:10:19 s.ADDTREE] Pruning tree... 

[2020-06-29 07:10:21 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.13; User: 19.08; System: 0.81) 
[2020-06-29 07:10:21 FUN] Running grid line #13 of 40... 
[2020-06-29 07:10:21 s.ADDTREE] Hello,  

[2020-06-29 07:10:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:10:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:10:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:10:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:10:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:10:31 s.ADDTREE] Pruning tree... 

[2020-06-29 07:10:33 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.99; User: 18.85; System: 0.80) 
[2020-06-29 07:10:33 FUN] Running grid line #14 of 40... 
[2020-06-29 07:10:33 s.ADDTREE] Hello,  

[2020-06-29 07:10:34 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:10:34 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:10:41 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:10:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:10:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:10:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:10:49 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.49; User: 25.96; System: 0.83) 
[2020-06-29 07:10:49 FUN] Running grid line #15 of 40... 
[2020-06-29 07:10:49 s.ADDTREE] Hello,  

[2020-06-29 07:10:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:10:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.6667 
              NPV  1.0000 
               F1  0.8000 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:10:55 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:10:56 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:10:56 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:00 s.ADDTREE] Pruning tree... 

[2020-06-29 07:11:03 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.62; User: 23; System: 0.60) 
[2020-06-29 07:11:03 FUN] Running grid line #16 of 40... 
[2020-06-29 07:11:03 s.ADDTREE] Hello,  

[2020-06-29 07:11:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:11:03 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 07:11:08 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:11:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:11:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:12 s.ADDTREE] Pruning tree... 

[2020-06-29 07:11:15 s.ADDTREE] Run completed in 0.20 minutes (Real: 12.10; User: 19.72; System: 0.70) 
[2020-06-29 07:11:15 FUN] Running grid line #17 of 40... 
[2020-06-29 07:11:15 s.ADDTREE] Hello,  

[2020-06-29 07:11:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:11:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:11:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:11:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:11:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:24 s.ADDTREE] Pruning tree... 

[2020-06-29 07:11:27 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.67; User: 19.12; System: 0.50) 
[2020-06-29 07:11:27 FUN] Running grid line #18 of 40... 
[2020-06-29 07:11:27 s.ADDTREE] Hello,  

[2020-06-29 07:11:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:11:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  51

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9808 
Balanced Accuracy  0.9487 
              PPV  0.9167 
              NPV  0.9808 
               F1  0.9167 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:11:32 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:11:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:11:33 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:36 s.ADDTREE] Pruning tree... 

[2020-06-29 07:11:37 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.56; User: 16.53; System: 0.74) 
[2020-06-29 07:11:38 FUN] Running grid line #19 of 40... 
[2020-06-29 07:11:38 s.ADDTREE] Hello,  

[2020-06-29 07:11:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:11:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:11:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:11:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:11:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:11:48 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.30; User: 16.45; System: 0.73) 
[2020-06-29 07:11:48 FUN] Running grid line #20 of 40... 
[2020-06-29 07:11:48 s.ADDTREE] Hello,  

[2020-06-29 07:11:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:11:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:11:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:11:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:11:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:11:59 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:02 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.74; User: 22.66; System: 0.93) 
[2020-06-29 07:12:02 FUN] Running grid line #21 of 40... 
[2020-06-29 07:12:02 s.ADDTREE] Hello,  

[2020-06-29 07:12:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:12:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:12:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:08 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:09 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.86; User: 10.33; System: 0.36) 
[2020-06-29 07:12:09 FUN] Running grid line #22 of 40... 
[2020-06-29 07:12:09 s.ADDTREE] Hello,  

[2020-06-29 07:12:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:12:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:12:14 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:15 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:15 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:16 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:18 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.24; User: 14.63; System: 0.55) 
[2020-06-29 07:12:18 FUN] Running grid line #23 of 40... 
[2020-06-29 07:12:18 s.ADDTREE] Hello,  

[2020-06-29 07:12:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:12:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:12:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:28 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:30 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.76; User: 18.80; System: 0.71) 
[2020-06-29 07:12:30 FUN] Running grid line #24 of 40... 
[2020-06-29 07:12:30 s.ADDTREE] Hello,  

[2020-06-29 07:12:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:12:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   0
                0   0  51

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:12:36 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:39 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.57; User: 12.69; System: 0.62) 
[2020-06-29 07:12:39 FUN] Running grid line #25 of 40... 
[2020-06-29 07:12:39 s.ADDTREE] Hello,  

[2020-06-29 07:12:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:12:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:12:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:47 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.06; User: 11.31; System: 0.66) 
[2020-06-29 07:12:47 FUN] Running grid line #26 of 40... 
[2020-06-29 07:12:47 s.ADDTREE] Hello,  

[2020-06-29 07:12:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:12:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 07:12:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:12:52 s.ADDTREE] Pruning tree... 

[2020-06-29 07:12:53 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.39; User: 9.26; System: 0.39) 
[2020-06-29 07:12:54 FUN] Running grid line #27 of 40... 
[2020-06-29 07:12:54 s.ADDTREE] Hello,  

[2020-06-29 07:12:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:12:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   2  50

                   Overall  
      Sensitivity  0.8333 
      Specificity  0.9804 
Balanced Accuracy  0.9069 
              PPV  0.9091 
              NPV  0.9615 
               F1  0.8696 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:12:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:12:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:12:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:00 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:00 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.78; User: 10.05; System: 0.50) 
[2020-06-29 07:13:00 FUN] Running grid line #28 of 40... 
[2020-06-29 07:13:00 s.ADDTREE] Hello,  

[2020-06-29 07:13:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:13:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8333 
               F1  NA     
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:13:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:06 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:07 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.67; User: 9.58; System: 0.50) 
[2020-06-29 07:13:07 FUN] Running grid line #29 of 40... 
[2020-06-29 07:13:07 s.ADDTREE] Hello,  

[2020-06-29 07:13:07 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:13:08 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   1  50

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9804 
Balanced Accuracy  0.9485 
              PPV  0.9167 
              NPV  0.9804 
               F1  0.9167 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  0
                0  1  6

                   Overall  
      Sensitivity  0.0000 
      Specificity  1.0000 
Balanced Accuracy  0.5000 
              PPV  NA     
              NPV  0.8571 
               F1  NA     
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:13:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:13 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:14 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.98; User: 10.20; System: 0.55) 
[2020-06-29 07:13:14 FUN] Running grid line #30 of 40... 
[2020-06-29 07:13:14 s.ADDTREE] Hello,  

[2020-06-29 07:13:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:13:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:13:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:21 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:22 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.75; User: 12.11; System: 0.33) 
[2020-06-29 07:13:22 FUN] Running grid line #31 of 40... 
[2020-06-29 07:13:22 s.ADDTREE] Hello,  

[2020-06-29 07:13:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:13:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1803 
              NPV  1.0000 
               F1  0.3056 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:13:25 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:26 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:26 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.59; User: 4.40; System: 0.34) 
[2020-06-29 07:13:26 FUN] Running grid line #32 of 40... 
[2020-06-29 07:13:26 s.ADDTREE] Hello,  

[2020-06-29 07:13:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:13:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  43
                0   0   8

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1569 
Balanced Accuracy  0.5784 
              PPV  0.2182 
              NPV  1.0000 
               F1  0.3582 
         Accuracy  0.3175 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:13:30 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:30 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:30 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:30 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:31 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.52; User: 5.80; System: 0.58) 
[2020-06-29 07:13:31 FUN] Running grid line #33 of 40... 
[2020-06-29 07:13:31 s.ADDTREE] Hello,  

[2020-06-29 07:13:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:13:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   1   3

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.0577 
Balanced Accuracy  0.4872 
              PPV  0.1833 
              NPV  0.7500 
               F1  0.3056 
         Accuracy  0.2188 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:13:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:35 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:36 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.92; User: 6.50; System: 0.46) 
[2020-06-29 07:13:36 FUN] Running grid line #34 of 40... 
[2020-06-29 07:13:36 s.ADDTREE] Hello,  

[2020-06-29 07:13:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:13:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   1   2

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.0392 
Balanced Accuracy  0.4779 
              PPV  0.1833 
              NPV  0.6667 
               F1  0.3056 
         Accuracy  0.2063 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:13:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:40 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:40 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.40; User: 5.41; System: 0.34) 
[2020-06-29 07:13:40 FUN] Running grid line #35 of 40... 
[2020-06-29 07:13:40 s.ADDTREE] Hello,  

[2020-06-29 07:13:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:13:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:13:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:44 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:44 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.83; User: 4.25; System: 0.38) 
[2020-06-29 07:13:44 FUN] Running grid line #36 of 40... 
[2020-06-29 07:13:44 s.ADDTREE] Hello,  

[2020-06-29 07:13:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:13:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  50
                0   0   2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0385 
Balanced Accuracy  0.5192 
              PPV  0.1935 
              NPV  1.0000 
               F1  0.3243 
         Accuracy  0.2188 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:13:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:48 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:48 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.65; User: 4.05; System: 0.23) 
[2020-06-29 07:13:48 FUN] Running grid line #37 of 40... 
[2020-06-29 07:13:48 s.ADDTREE] Hello,  

[2020-06-29 07:13:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:13:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  7  48
                0  5   3

                   Overall  
      Sensitivity  0.5833 
      Specificity  0.0588 
Balanced Accuracy  0.3211 
              PPV  0.1273 
              NPV  0.3750 
               F1  0.2090 
         Accuracy  0.1587 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  6
                0  1  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 07:13:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:53 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:53 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:53 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.45; User: 7.42; System: 0.38) 
[2020-06-29 07:13:54 FUN] Running grid line #38 of 40... 
[2020-06-29 07:13:54 s.ADDTREE] Hello,  

[2020-06-29 07:13:54 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:13:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  47
                0  11   5

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.0962 
Balanced Accuracy  0.0897 
              PPV  0.0208 
              NPV  0.3125 
               F1  0.0333 
         Accuracy  0.0938 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  4
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.2000 
Balanced Accuracy  0.6000 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.3333 

  Positive Class:  1 
[2020-06-29 07:13:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:13:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:13:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:13:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:13:57 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.81; User: 4.77; System: 0.34) 
[2020-06-29 07:13:57 FUN] Running grid line #39 of 40... 
[2020-06-29 07:13:57 s.ADDTREE] Hello,  

[2020-06-29 07:13:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:13:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  47
                0  11   4

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.0784 
Balanced Accuracy  0.0809 
              PPV  0.0208 
              NPV  0.2667 
               F1  0.0333 
         Accuracy  0.0794 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:14:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:02 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:02 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:03 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:03 s.ADDTREE] Run completed in 0.09 minutes (Real: 5.64; User: 7.90; System: 0.41) 
[2020-06-29 07:14:03 FUN] Running grid line #40 of 40... 
[2020-06-29 07:14:03 s.ADDTREE] Hello,  

[2020-06-29 07:14:03 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:14:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:14:06 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:07 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:07 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:07 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.70; User: 4.53; System: 0.22) 
[2020-06-29 07:14:16 FUN] Running grid line #1 of 40... 
[2020-06-29 07:14:16 s.ADDTREE] Hello,  

[2020-06-29 07:14:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:14:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   8
                0   1  43

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.8431 
Balanced Accuracy  0.8761 
              PPV  0.5556 
              NPV  0.9773 
               F1  0.6897 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:14:21 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:22 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:22 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:26 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:27 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.53; User: 19.01; System: 0.81) 
[2020-06-29 07:14:28 FUN] Running grid line #2 of 40... 
[2020-06-29 07:14:28 s.ADDTREE] Hello,  

[2020-06-29 07:14:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:14:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   1  43

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8431 
Balanced Accuracy  0.8799 
              PPV  0.5789 
              NPV  0.9773 
               F1  0.7097 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:14:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:39 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.45; User: 18.34; System: 0.76) 
[2020-06-29 07:14:39 FUN] Running grid line #3 of 40... 
[2020-06-29 07:14:39 s.ADDTREE] Hello,  

[2020-06-29 07:14:39 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:14:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   1  44

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8462 
Balanced Accuracy  0.8814 
              PPV  0.5789 
              NPV  0.9778 
               F1  0.7097 
         Accuracy  0.8594 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:14:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:45 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:45 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:48 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:49 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.04; User: 16.04; System: 0.66) 
[2020-06-29 07:14:49 FUN] Running grid line #4 of 40... 
[2020-06-29 07:14:49 s.ADDTREE] Hello,  

[2020-06-29 07:14:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:14:50 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   1  43

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8431 
Balanced Accuracy  0.8799 
              PPV  0.5789 
              NPV  0.9773 
               F1  0.7097 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:14:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:14:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:14:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:14:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:14:59 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.67; User: 15.31; System: 0.55) 
[2020-06-29 07:14:59 FUN] Running grid line #5 of 40... 
[2020-06-29 07:14:59 s.ADDTREE] Hello,  

[2020-06-29 07:14:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:15:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  2  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.7143 
               F1  NA     
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:15:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:04 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:05 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:06 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.06; User: 10.22; System: 0.51) 
[2020-06-29 07:15:06 FUN] Running grid line #6 of 40... 
[2020-06-29 07:15:06 s.ADDTREE] Hello,  

[2020-06-29 07:15:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:15:07 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   7
                0   1  45

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8654 
Balanced Accuracy  0.8910 
              PPV  0.6111 
              NPV  0.9783 
               F1  0.7333 
         Accuracy  0.8750 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:15:12 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:13 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:16 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:18 s.ADDTREE] Run completed in 0.19 minutes (Real: 11.27; User: 18.05; System: 0.64) 
[2020-06-29 07:15:18 FUN] Running grid line #7 of 40... 
[2020-06-29 07:15:18 s.ADDTREE] Hello,  

[2020-06-29 07:15:18 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:15:18 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   1  43

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8431 
Balanced Accuracy  0.8799 
              PPV  0.5789 
              NPV  0.9773 
               F1  0.7097 
         Accuracy  0.8571 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:15:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:26 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:27 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.78; User: 14.92; System: 0.74) 
[2020-06-29 07:15:28 FUN] Running grid line #8 of 40... 
[2020-06-29 07:15:28 s.ADDTREE] Hello,  

[2020-06-29 07:15:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:15:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  10
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8077 
Balanced Accuracy  0.9038 
              PPV  0.5455 
              NPV  1.0000 
               F1  0.7059 
         Accuracy  0.8438 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  3
                0  0  2

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.4000 
Balanced Accuracy  0.7000 
              PPV  0.2500 
              NPV  1.0000 
               F1  0.4000 
         Accuracy  0.5000 

  Positive Class:  1 
[2020-06-29 07:15:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:36 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:38 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.33; User: 15.80; System: 0.75) 
[2020-06-29 07:15:38 FUN] Running grid line #9 of 40... 
[2020-06-29 07:15:38 s.ADDTREE] Hello,  

[2020-06-29 07:15:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:15:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   1  45

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.8824 
Balanced Accuracy  0.8995 
              PPV  0.6471 
              NPV  0.9783 
               F1  0.7586 
         Accuracy  0.8889 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 07:15:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:46 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:48 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.85; User: 15.24; System: 0.55) 
[2020-06-29 07:15:48 FUN] Running grid line #10 of 40... 
[2020-06-29 07:15:48 s.ADDTREE] Hello,  

[2020-06-29 07:15:48 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:15:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   7
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8627 
Balanced Accuracy  0.9314 
              PPV  0.6111 
              NPV  1.0000 
               F1  0.7586 
         Accuracy  0.8871 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  3
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.5000 
Balanced Accuracy  0.7500 
              PPV  0.4000 
              NPV  1.0000 
               F1  0.5714 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:15:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:15:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:15:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:15:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:15:59 s.ADDTREE] Run completed in 0.18 minutes (Real: 11.07; User: 17.67; System: 0.88) 
[2020-06-29 07:15:59 FUN] Running grid line #11 of 40... 
[2020-06-29 07:15:59 s.ADDTREE] Hello,  

[2020-06-29 07:15:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:16:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   1  49

                   Overall  
      Sensitivity  0.9091 
      Specificity  0.9608 
Balanced Accuracy  0.9349 
              PPV  0.8333 
              NPV  0.9800 
               F1  0.8696 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:16:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:16:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:16:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:16:10 s.ADDTREE] Pruning tree... 

[2020-06-29 07:16:12 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.02; User: 20.44; System: 0.73) 
[2020-06-29 07:16:12 FUN] Running grid line #12 of 40... 
[2020-06-29 07:16:12 s.ADDTREE] Hello,  

[2020-06-29 07:16:12 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:16:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:16:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:16:20 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:16:20 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:16:23 s.ADDTREE] Pruning tree... 

[2020-06-29 07:16:26 s.ADDTREE] Run completed in 0.23 minutes (Real: 13.56; User: 22.34; System: 0.86) 
[2020-06-29 07:16:26 FUN] Running grid line #13 of 40... 
[2020-06-29 07:16:26 s.ADDTREE] Hello,  

[2020-06-29 07:16:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:16:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:16:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:16:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:16:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:16:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:16:40 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.31; User: 23.42; System: 0.81) 
[2020-06-29 07:16:40 FUN] Running grid line #14 of 40... 
[2020-06-29 07:16:41 s.ADDTREE] Hello,  

[2020-06-29 07:16:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:16:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9608 
Balanced Accuracy  0.9387 
              PPV  0.8462 
              NPV  0.9800 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:16:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:16:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:16:48 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:16:51 s.ADDTREE] Pruning tree... 

[2020-06-29 07:16:53 s.ADDTREE] Run completed in 0.21 minutes (Real: 12.47; User: 20.16; System: 0.84) 
[2020-06-29 07:16:53 FUN] Running grid line #15 of 40... 
[2020-06-29 07:16:53 s.ADDTREE] Hello,  

[2020-06-29 07:16:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:16:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  2  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.7143 
               F1  NA     
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:16:58 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:16:59 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:16:59 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:17:00 s.ADDTREE] Pruning tree... 

[2020-06-29 07:17:02 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.44; User: 12.83; System: 0.39) 
[2020-06-29 07:17:02 FUN] Running grid line #16 of 40... 
[2020-06-29 07:17:02 s.ADDTREE] Hello,  

[2020-06-29 07:17:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:17:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:17:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:17:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:17:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:17:14 s.ADDTREE] Pruning tree... 

[2020-06-29 07:17:17 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.92; User: 24.92; System: 0.80) 
[2020-06-29 07:17:17 FUN] Running grid line #17 of 40... 
[2020-06-29 07:17:17 s.ADDTREE] Hello,  

[2020-06-29 07:17:17 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:17:17 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9683 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:17:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:17:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:17:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:17:29 s.ADDTREE] Pruning tree... 

[2020-06-29 07:17:31 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.52; User: 21.91; System: 1.02) 
[2020-06-29 07:17:31 FUN] Running grid line #18 of 40... 
[2020-06-29 07:17:31 s.ADDTREE] Hello,  

[2020-06-29 07:17:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:17:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:17:38 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:17:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:17:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:17:44 s.ADDTREE] Pruning tree... 

[2020-06-29 07:17:47 s.ADDTREE] Run completed in 0.26 minutes (Real: 15.77; User: 26.17; System: 0.99) 
[2020-06-29 07:17:47 FUN] Running grid line #19 of 40... 
[2020-06-29 07:17:47 s.ADDTREE] Hello,  

[2020-06-29 07:17:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:17:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   1  49

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.9608 
Balanced Accuracy  0.9387 
              PPV  0.8462 
              NPV  0.9800 
               F1  0.8800 
         Accuracy  0.9524 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6667 
Balanced Accuracy  0.8333 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 07:17:53 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:17:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:17:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:17:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:17:59 s.ADDTREE] Run completed in 0.20 minutes (Real: 11.84; User: 19.47; System: 0.73) 
[2020-06-29 07:17:59 FUN] Running grid line #20 of 40... 
[2020-06-29 07:17:59 s.ADDTREE] Hello,  

[2020-06-29 07:17:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:18:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  1  5

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.8333 
Balanced Accuracy  0.6667 
              PPV  0.5000 
              NPV  0.8333 
               F1  0.5000 
         Accuracy  0.7500 

  Positive Class:  1 
[2020-06-29 07:18:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:10 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:13 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.25; User: 21.83; System: 0.64) 
[2020-06-29 07:18:13 FUN] Running grid line #21 of 40... 
[2020-06-29 07:18:13 s.ADDTREE] Hello,  

[2020-06-29 07:18:13 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:18:13 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:18:17 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:17 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:17 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:18 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:19 s.ADDTREE] Run completed in 0.10 minutes (Real: 6.20; User: 8.89; System: 0.53) 
[2020-06-29 07:18:19 FUN] Running grid line #22 of 40... 
[2020-06-29 07:18:19 s.ADDTREE] Hello,  

[2020-06-29 07:18:19 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:18:19 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:18:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:24 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:24 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:25 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:27 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.52; User: 11.19; System: 0.61) 
[2020-06-29 07:18:27 FUN] Running grid line #23 of 40... 
[2020-06-29 07:18:27 s.ADDTREE] Hello,  

[2020-06-29 07:18:27 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:18:27 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:18:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:33 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:35 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.08; User: 11.99; System: 0.53) 
[2020-06-29 07:18:35 FUN] Running grid line #24 of 40... 
[2020-06-29 07:18:35 s.ADDTREE] Hello,  

[2020-06-29 07:18:35 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:18:35 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:18:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:41 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:42 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.50; User: 11.39; System: 0.44) 
[2020-06-29 07:18:42 FUN] Running grid line #25 of 40... 
[2020-06-29 07:18:43 s.ADDTREE] Hello,  

[2020-06-29 07:18:43 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:18:43 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  2  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.7143 
               F1  NA     
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:18:46 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:47 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:47 s.ADDTREE] Run completed in 0.08 minutes (Real: 4.55; User: 5.80; System: 0.44) 
[2020-06-29 07:18:47 FUN] Running grid line #26 of 40... 
[2020-06-29 07:18:47 s.ADDTREE] Hello,  

[2020-06-29 07:18:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:18:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  51

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9808 
Balanced Accuracy  0.9904 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9844 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:18:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:18:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:18:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:18:54 s.ADDTREE] Pruning tree... 

[2020-06-29 07:18:55 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.99; User: 12.27; System: 0.69) 
[2020-06-29 07:18:55 FUN] Running grid line #27 of 40... 
[2020-06-29 07:18:55 s.ADDTREE] Hello,  

[2020-06-29 07:18:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:18:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:19:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:02 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:04 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.47; User: 12.95; System: 0.47) 
[2020-06-29 07:19:04 FUN] Running grid line #28 of 40... 
[2020-06-29 07:19:04 s.ADDTREE] Hello,  

[2020-06-29 07:19:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:19:04 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   2
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9615 
Balanced Accuracy  0.9808 
              PPV  0.8571 
              NPV  1.0000 
               F1  0.9231 
         Accuracy  0.9688 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:19:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:12 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:13 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.44; User: 14.93; System: 0.60) 
[2020-06-29 07:19:13 FUN] Running grid line #29 of 40... 
[2020-06-29 07:19:13 s.ADDTREE] Hello,  

[2020-06-29 07:19:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:19:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9231 
              NPV  1.0000 
               F1  0.9600 
         Accuracy  0.9841 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:19:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:20 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:22 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.31; User: 13; System: 0.50) 
[2020-06-29 07:19:22 FUN] Running grid line #30 of 40... 
[2020-06-29 07:19:22 s.ADDTREE] Hello,  

[2020-06-29 07:19:22 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:19:22 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  50

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9804 
Balanced Accuracy  0.9902 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9839 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:19:26 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:28 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:29 s.ADDTREE] Run completed in 0.12 minutes (Real: 7.32; User: 11.14; System: 0.54) 
[2020-06-29 07:19:29 FUN] Running grid line #31 of 40... 
[2020-06-29 07:19:29 s.ADDTREE] Hello,  

[2020-06-29 07:19:29 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:19:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  4  38
                0  7  13

                   Overall  
      Sensitivity  0.3636 
      Specificity  0.2549 
Balanced Accuracy  0.3093 
              PPV  0.0952 
              NPV  0.6500 
               F1  0.1509 
         Accuracy  0.2742 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  6
                0  2  0

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.0000 
Balanced Accuracy  0.0000 
              PPV  0.0000 
              NPV  0.0000 
               F1  NA     
         Accuracy  0.0000 

  Positive Class:  1 
[2020-06-29 07:19:34 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:34 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:35 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:36 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.77; User: 9.60; System: 0.56) 
[2020-06-29 07:19:36 FUN] Running grid line #32 of 40... 
[2020-06-29 07:19:36 s.ADDTREE] Hello,  

[2020-06-29 07:19:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:19:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1  0   
                1  7  45
                0  5   6

                   Overall  
      Sensitivity  0.5833 
      Specificity  0.1176 
Balanced Accuracy  0.3505 
              PPV  0.1346 
              NPV  0.5455 
               F1  0.2188 
         Accuracy  0.2063 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:19:40 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:40 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:40 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:40 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:41 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.45; User: 5.84; System: 0.42) 
[2020-06-29 07:19:41 FUN] Running grid line #33 of 40... 
[2020-06-29 07:19:41 s.ADDTREE] Hello,  

[2020-06-29 07:19:41 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:19:41 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  41
                0  11  11

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.2115 
Balanced Accuracy  0.1474 
              PPV  0.0238 
              NPV  0.5000 
               F1  0.0370 
         Accuracy  0.1875 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:19:44 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:44 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:44 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:45 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:45 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.05; User: 4.80; System: 0.53) 
[2020-06-29 07:19:45 FUN] Running grid line #34 of 40... 
[2020-06-29 07:19:45 s.ADDTREE] Hello,  

[2020-06-29 07:19:45 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:19:45 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  40
                0  11  11

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.2157 
Balanced Accuracy  0.1495 
              PPV  0.0244 
              NPV  0.5000 
               F1  0.0377 
         Accuracy  0.1905 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  5
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.1667 
Balanced Accuracy  0.0833 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:19:48 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:48 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:49 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:49 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:49 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.97; User: 4.80; System: 0.31) 
[2020-06-29 07:19:49 FUN] Running grid line #35 of 40... 
[2020-06-29 07:19:49 s.ADDTREE] Hello,  

[2020-06-29 07:19:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:19:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  47
                0   0   4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0784 
Balanced Accuracy  0.5392 
              PPV  0.1897 
              NPV  1.0000 
               F1  0.3188 
         Accuracy  0.2419 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:19:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:53 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:53 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:53 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.06; User: 5.17; System: 0.31) 
[2020-06-29 07:19:53 FUN] Running grid line #36 of 40... 
[2020-06-29 07:19:53 s.ADDTREE] Hello,  

[2020-06-29 07:19:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:19:54 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  44
                0  11   8

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1538 
Balanced Accuracy  0.1186 
              PPV  0.0222 
              NPV  0.4211 
               F1  0.0351 
         Accuracy  0.1406 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  1

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.2000 
Balanced Accuracy  0.1000 
              PPV  0.0000 
              NPV  0.5000 
               F1  NA     
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:19:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:19:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:19:57 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:19:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:19:57 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.16; User: 5.10; System: 0.48) 
[2020-06-29 07:19:58 FUN] Running grid line #37 of 40... 
[2020-06-29 07:19:58 s.ADDTREE] Hello,  

[2020-06-29 07:19:58 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:19:58 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  43
                0  11   8

                   Overall  
      Sensitivity  0.0833 
      Specificity  0.1569 
Balanced Accuracy  0.1201 
              PPV  0.0227 
              NPV  0.4211 
               F1  0.0357 
         Accuracy  0.1429 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  4
                0  1  2

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.3333 
Balanced Accuracy  0.1667 
              PPV  0.0000 
              NPV  0.6667 
               F1  NA     
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 07:20:01 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:01 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:02 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.25; User: 4.85; System: 0.36) 
[2020-06-29 07:20:02 FUN] Running grid line #38 of 40... 
[2020-06-29 07:20:02 s.ADDTREE] Hello,  

[2020-06-29 07:20:02 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 64 x 39 
    Training outcome: 64 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:20:02 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  12  52
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1875 
              NPV  NA     
               F1  0.3158 
         Accuracy  0.1875 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:20:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:05 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:05 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:05 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:05 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.50; User: 4.18; System: 0.20) 
[2020-06-29 07:20:06 FUN] Running grid line #39 of 40... 
[2020-06-29 07:20:06 s.ADDTREE] Hello,  

[2020-06-29 07:20:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 63 x 39 
    Training outcome: 63 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:20:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  49
                0   1   2

                   Overall  
      Sensitivity  0.9167 
      Specificity  0.0392 
Balanced Accuracy  0.4779 
              PPV  0.1833 
              NPV  0.6667 
               F1  0.3056 
         Accuracy  0.2063 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1667 
Balanced Accuracy  0.5833 
              PPV  0.1667 
              NPV  1.0000 
               F1  0.2857 
         Accuracy  0.2857 

  Positive Class:  1 
[2020-06-29 07:20:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:09 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:09 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:10 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:10 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.31; User: 5.42; System: 0.31) 
[2020-06-29 07:20:10 FUN] Running grid line #40 of 40... 
[2020-06-29 07:20:10 s.ADDTREE] Hello,  

[2020-06-29 07:20:10 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:20:10 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   1  44
                0  10   7

                   Overall  
      Sensitivity  0.0909 
      Specificity  0.1373 
Balanced Accuracy  0.1141 
              PPV  0.0222 
              NPV  0.4118 
               F1  0.0357 
         Accuracy  0.1290 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  3
                0  2  3

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.5000 
Balanced Accuracy  0.2500 
              PPV  0.0000 
              NPV  0.6000 
               F1  NA     
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 07:20:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:14 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:14 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.25; User: 5.14; System: 0.41) 
[2020-06-29 07:20:20 FUN] Running grid line #1 of 40... 
[2020-06-29 07:20:20 s.ADDTREE] Hello,  

[2020-06-29 07:20:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:20:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   8
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8400 
Balanced Accuracy  0.9200 
              PPV  0.5556 
              NPV  1.0000 
               F1  0.7143 
         Accuracy  0.8667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  1  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.3333 
              NPV  0.8000 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:20:24 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:25 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:25 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:27 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:28 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.09; User: 12.44; System: 0.55) 
[2020-06-29 07:20:28 FUN] Running grid line #2 of 40... 
[2020-06-29 07:20:28 s.ADDTREE] Hello,  

[2020-06-29 07:20:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:20:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:20:33 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:33 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:34 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:36 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:37 s.ADDTREE] Run completed in 0.15 minutes (Real: 9.23; User: 14.50; System: 0.58) 
[2020-06-29 07:20:37 FUN] Running grid line #3 of 40... 
[2020-06-29 07:20:37 s.ADDTREE] Hello,  

[2020-06-29 07:20:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:20:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   9
                0   0  42

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8235 
Balanced Accuracy  0.9118 
              PPV  0.5500 
              NPV  1.0000 
               F1  0.7097 
         Accuracy  0.8548 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:20:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:45 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:47 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.79; User: 15.58; System: 0.55) 
[2020-06-29 07:20:47 FUN] Running grid line #4 of 40... 
[2020-06-29 07:20:47 s.ADDTREE] Hello,  

[2020-06-29 07:20:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:20:48 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 07:20:52 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:20:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:20:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:20:54 s.ADDTREE] Pruning tree... 

[2020-06-29 07:20:55 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.09; User: 12.57; System: 0.53) 
[2020-06-29 07:20:55 FUN] Running grid line #5 of 40... 
[2020-06-29 07:20:55 s.ADDTREE] Hello,  

[2020-06-29 07:20:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:20:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6471 
              NPV  1.0000 
               F1  0.7857 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  0  3

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.6000 
Balanced Accuracy  0.8000 
              PPV  0.3333 
              NPV  1.0000 
               F1  0.5000 
         Accuracy  0.6667 

  Positive Class:  1 
[2020-06-29 07:21:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:03 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:04 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.87; User: 13.58; System: 0.51) 
[2020-06-29 07:21:04 FUN] Running grid line #6 of 40... 
[2020-06-29 07:21:04 s.ADDTREE] Hello,  

[2020-06-29 07:21:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:21:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   5
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9000 
Balanced Accuracy  0.9500 
              PPV  0.6875 
              NPV  1.0000 
               F1  0.8148 
         Accuracy  0.9180 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:21:09 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:14 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:15 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.83; User: 17.17; System: 0.78) 
[2020-06-29 07:21:15 FUN] Running grid line #7 of 40... 
[2020-06-29 07:21:15 s.ADDTREE] Hello,  

[2020-06-29 07:21:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:21:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   8
                0   0  43

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8431 
Balanced Accuracy  0.9216 
              PPV  0.5789 
              NPV  1.0000 
               F1  0.7333 
         Accuracy  0.8710 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:21:20 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:21 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:21 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:24 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:25 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.12; User: 15.95; System: 0.58) 
[2020-06-29 07:21:25 FUN] Running grid line #8 of 40... 
[2020-06-29 07:21:26 s.ADDTREE] Hello,  

[2020-06-29 07:21:26 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:21:26 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   0  44

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8800 
Balanced Accuracy  0.9400 
              PPV  0.6471 
              NPV  1.0000 
               F1  0.7857 
         Accuracy  0.9016 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:21:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:32 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:32 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:35 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:37 s.ADDTREE] Run completed in 0.18 minutes (Real: 10.97; User: 17.31; System: 0.77) 
[2020-06-29 07:21:37 FUN] Running grid line #9 of 40... 
[2020-06-29 07:21:37 s.ADDTREE] Hello,  

[2020-06-29 07:21:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:21:37 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   6
                0   0  45

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8824 
Balanced Accuracy  0.9412 
              PPV  0.6471 
              NPV  1.0000 
               F1  0.7857 
         Accuracy  0.9032 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:21:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:42 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:42 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:45 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:46 s.ADDTREE] Run completed in 0.16 minutes (Real: 9.44; User: 14.86; System: 0.70) 
[2020-06-29 07:21:46 FUN] Running grid line #10 of 40... 
[2020-06-29 07:21:46 s.ADDTREE] Hello,  

[2020-06-29 07:21:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:21:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7692 
              NPV  1.0000 
               F1  0.8696 
         Accuracy  0.9500 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:21:51 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:21:52 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:21:52 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:21:54 s.ADDTREE] Pruning tree... 

[2020-06-29 07:21:55 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.99; User: 13.81; System: 0.55) 
[2020-06-29 07:21:55 FUN] Running grid line #11 of 40... 
[2020-06-29 07:21:55 s.ADDTREE] Hello,  

[2020-06-29 07:21:55 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:21:56 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   4
                0   0  46

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9200 
Balanced Accuracy  0.9600 
              PPV  0.7143 
              NPV  1.0000 
               F1  0.8333 
         Accuracy  0.9333 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  2
                0  1  4

                   Overall  
      Sensitivity  0.5000 
      Specificity  0.6667 
Balanced Accuracy  0.5833 
              PPV  0.3333 
              NPV  0.8000 
               F1  0.4000 
         Accuracy  0.6250 

  Positive Class:  1 
[2020-06-29 07:22:00 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:01 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:01 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:22:03 s.ADDTREE] Pruning tree... 

[2020-06-29 07:22:04 s.ADDTREE] Run completed in 0.15 minutes (Real: 8.93; User: 14.28; System: 0.42) 
[2020-06-29 07:22:04 FUN] Running grid line #12 of 40... 
[2020-06-29 07:22:04 s.ADDTREE] Hello,  

[2020-06-29 07:22:04 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:22:05 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:22:10 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:10 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:10 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:22:13 s.ADDTREE] Pruning tree... 

[2020-06-29 07:22:15 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.50; User: 16.92; System: 0.68) 
[2020-06-29 07:22:15 FUN] Running grid line #13 of 40... 
[2020-06-29 07:22:15 s.ADDTREE] Hello,  

[2020-06-29 07:22:15 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:22:15 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:22:22 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:22:26 s.ADDTREE] Pruning tree... 

[2020-06-29 07:22:29 s.ADDTREE] Run completed in 0.24 minutes (Real: 14.30; User: 23.68; System: 1.03) 
[2020-06-29 07:22:29 FUN] Running grid line #14 of 40... 
[2020-06-29 07:22:29 s.ADDTREE] Hello,  

[2020-06-29 07:22:30 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:22:30 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 07:22:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:22:38 s.ADDTREE] Pruning tree... 

[2020-06-29 07:22:40 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.31; User: 16.14; System: 0.61) 
[2020-06-29 07:22:40 FUN] Running grid line #15 of 40... 
[2020-06-29 07:22:40 s.ADDTREE] Hello,  

[2020-06-29 07:22:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:22:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:22:45 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:46 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:46 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:22:48 s.ADDTREE] Pruning tree... 

[2020-06-29 07:22:50 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.39; User: 16.70; System: 0.61) 
[2020-06-29 07:22:50 FUN] Running grid line #16 of 40... 
[2020-06-29 07:22:50 s.ADDTREE] Hello,  

[2020-06-29 07:22:50 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:22:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:22:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:22:58 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:22:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:23:01 s.ADDTREE] Pruning tree... 

[2020-06-29 07:23:06 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.09; User: 23.88; System: 0.78) 
[2020-06-29 07:23:06 FUN] Running grid line #17 of 40... 
[2020-06-29 07:23:06 s.ADDTREE] Hello,  

[2020-06-29 07:23:06 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:23:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9412 
Balanced Accuracy  0.9706 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9516 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:23:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:23:14 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:23:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:23:18 s.ADDTREE] Pruning tree... 

[2020-06-29 07:23:21 s.ADDTREE] Run completed in 0.25 minutes (Real: 14.94; User: 24.40; System: 0.93) 
[2020-06-29 07:23:21 FUN] Running grid line #18 of 40... 
[2020-06-29 07:23:21 s.ADDTREE] Hello,  

[2020-06-29 07:23:21 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:23:21 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:23:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:23:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:23:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:23:33 s.ADDTREE] Pruning tree... 

[2020-06-29 07:23:36 s.ADDTREE] Run completed in 0.25 minutes (Real: 15.03; User: 24.89; System: 0.89) 
[2020-06-29 07:23:36 FUN] Running grid line #19 of 40... 
[2020-06-29 07:23:36 s.ADDTREE] Hello,  

[2020-06-29 07:23:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:23:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  4

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8000 
Balanced Accuracy  0.9000 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8333 

  Positive Class:  1 
[2020-06-29 07:23:42 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:23:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:23:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:23:47 s.ADDTREE] Pruning tree... 

[2020-06-29 07:23:49 s.ADDTREE] Run completed in 0.22 minutes (Real: 13.19; User: 21.60; System: 0.82) 
[2020-06-29 07:23:49 FUN] Running grid line #20 of 40... 
[2020-06-29 07:23:49 s.ADDTREE] Hello,  

[2020-06-29 07:23:49 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:23:49 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.9667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:23:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:23:55 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:23:55 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:23:57 s.ADDTREE] Pruning tree... 

[2020-06-29 07:23:59 s.ADDTREE] Run completed in 0.17 minutes (Real: 10.04; User: 15.96; System: 0.75) 
[2020-06-29 07:23:59 FUN] Running grid line #21 of 40... 
[2020-06-29 07:23:59 s.ADDTREE] Hello,  

[2020-06-29 07:23:59 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:24:00 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9091 
              NPV  1.0000 
               F1  0.9524 
         Accuracy  0.9833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  1  6

                   Overall  
      Sensitivity  0.5000 
      Specificity  1.0000 
Balanced Accuracy  0.7500 
              PPV  1.0000 
              NPV  0.8571 
               F1  0.6667 
         Accuracy  0.8750 

  Positive Class:  1 
[2020-06-29 07:24:03 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:03 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:04 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:04 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:05 s.ADDTREE] Run completed in 0.10 minutes (Real: 5.72; User: 8.25; System: 0.50) 
[2020-06-29 07:24:05 FUN] Running grid line #22 of 40... 
[2020-06-29 07:24:05 s.ADDTREE] Hello,  

[2020-06-29 07:24:05 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:24:06 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:24:11 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:12 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:12 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:13 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:14 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.57; User: 11.47; System: 0.82) 
[2020-06-29 07:24:14 FUN] Running grid line #23 of 40... 
[2020-06-29 07:24:14 s.ADDTREE] Hello,  

[2020-06-29 07:24:14 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:24:14 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:24:18 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:21 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:22 s.ADDTREE] Run completed in 0.14 minutes (Real: 8.52; User: 13.11; System: 0.52) 
[2020-06-29 07:24:23 FUN] Running grid line #24 of 40... 
[2020-06-29 07:24:23 s.ADDTREE] Hello,  

[2020-06-29 07:24:23 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:24:23 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   1
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9800 
Balanced Accuracy  0.9900 
              PPV  0.9167 
              NPV  1.0000 
               F1  0.9565 
         Accuracy  0.9836 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  0  1
                0  1  5

                   Overall  
      Sensitivity  0.0000 
      Specificity  0.8333 
Balanced Accuracy  0.4167 
              PPV  0.0000 
              NPV  0.8333 
               F1  NA     
         Accuracy  0.7143 

  Positive Class:  1 
[2020-06-29 07:24:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:28 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:28 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:29 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:31 s.ADDTREE] Run completed in 0.13 minutes (Real: 8; User: 12.33; System: 0.54) 
[2020-06-29 07:24:31 FUN] Running grid line #25 of 40... 
[2020-06-29 07:24:31 s.ADDTREE] Hello,  

[2020-06-29 07:24:31 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:24:31 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:24:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:36 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:36 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:37 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:38 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.58; User: 11.55; System: 0.58) 
[2020-06-29 07:24:38 FUN] Running grid line #26 of 40... 
[2020-06-29 07:24:38 s.ADDTREE] Hello,  

[2020-06-29 07:24:38 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:24:39 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9672 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:24:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:44 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:45 s.ADDTREE] Run completed in 0.12 minutes (Real: 6.92; User: 10.40; System: 0.55) 
[2020-06-29 07:24:45 FUN] Running grid line #27 of 40... 
[2020-06-29 07:24:46 s.ADDTREE] Hello,  

[2020-06-29 07:24:46 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:24:46 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:24:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:51 s.ADDTREE] Pruning tree... 

[2020-06-29 07:24:52 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.86; User: 10.22; System: 0.37) 
[2020-06-29 07:24:52 FUN] Running grid line #28 of 40... 
[2020-06-29 07:24:53 s.ADDTREE] Hello,  

[2020-06-29 07:24:53 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:24:53 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   3
                0   0  47

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9400 
Balanced Accuracy  0.9700 
              PPV  0.7857 
              NPV  1.0000 
               F1  0.8800 
         Accuracy  0.9508 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  1
                0  0  5

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.8333 
Balanced Accuracy  0.9167 
              PPV  0.5000 
              NPV  1.0000 
               F1  0.6667 
         Accuracy  0.8571 

  Positive Class:  1 
[2020-06-29 07:24:57 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:24:57 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:24:58 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:24:59 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:01 s.ADDTREE] Run completed in 0.13 minutes (Real: 8.10; User: 12.04; System: 0.50) 
[2020-06-29 07:25:01 FUN] Running grid line #29 of 40... 
[2020-06-29 07:25:01 s.ADDTREE] Hello,  

[2020-06-29 07:25:01 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:25:01 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11   2
                0   0  49

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9608 
Balanced Accuracy  0.9804 
              PPV  0.8462 
              NPV  1.0000 
               F1  0.9167 
         Accuracy  0.9677 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  0  5

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:25:05 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:06 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:06 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:07 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:09 s.ADDTREE] Run completed in 0.13 minutes (Real: 7.78; User: 11.80; System: 0.56) 
[2020-06-29 07:25:09 FUN] Running grid line #30 of 40... 
[2020-06-29 07:25:09 s.ADDTREE] Hello,  

[2020-06-29 07:25:09 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:25:09 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10   2
                0   0  48

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.9600 
Balanced Accuracy  0.9800 
              PPV  0.8333 
              NPV  1.0000 
               F1  0.9091 
         Accuracy  0.9667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  0
                0  0  6

                   Overall  
      Sensitivity  1      
      Specificity  1      
Balanced Accuracy  1      
              PPV  1      
              NPV  1      
               F1  1      
         Accuracy  1      

  Positive Class:  1 
[2020-06-29 07:25:13 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:13 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:14 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:15 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:16 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.83; User: 10.33; System: 0.44) 
[2020-06-29 07:25:16 FUN] Running grid line #31 of 40... 
[2020-06-29 07:25:16 s.ADDTREE] Hello,  

[2020-06-29 07:25:16 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:25:16 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  49
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0200 
Balanced Accuracy  0.5100 
              PPV  0.1695 
              NPV  1.0000 
               F1  0.2899 
         Accuracy  0.1833 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:25:19 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:19 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:19 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:20 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:20 s.ADDTREE] Run completed in 0.07 minutes (Real: 4.32; User: 5.31; System: 0.30) 
[2020-06-29 07:25:20 FUN] Running grid line #32 of 40... 
[2020-06-29 07:25:20 s.ADDTREE] Hello,  

[2020-06-29 07:25:20 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:25:20 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1803 
              NPV  NA     
               F1  0.3056 
         Accuracy  0.1803 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:25:23 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:23 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:23 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:23 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:24 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.49; User: 4.11; System: 0.22) 
[2020-06-29 07:25:24 FUN] Running grid line #33 of 40... 
[2020-06-29 07:25:24 s.ADDTREE] Hello,  

[2020-06-29 07:25:24 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:25:24 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:25:27 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:27 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:27 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:27 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:28 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.86; User: 4.40; System: 0.39) 
[2020-06-29 07:25:28 FUN] Running grid line #34 of 40... 
[2020-06-29 07:25:28 s.ADDTREE] Hello,  

[2020-06-29 07:25:28 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:25:28 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  43
                0   0   7

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1400 
Balanced Accuracy  0.5700 
              PPV  0.2037 
              NPV  1.0000 
               F1  0.3385 
         Accuracy  0.2951 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:25:31 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:31 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:31 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:31 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:32 s.ADDTREE] Run completed in 0.07 minutes (Real: 3.97; User: 4.39; System: 0.48) 
[2020-06-29 07:25:32 FUN] Running grid line #35 of 40... 
[2020-06-29 07:25:32 s.ADDTREE] Hello,  

[2020-06-29 07:25:32 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:25:32 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1803 
              NPV  1.0000 
               F1  0.3056 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:25:35 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:35 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:35 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:35 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:36 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.66; User: 4.28; System: 0.22) 
[2020-06-29 07:25:36 FUN] Running grid line #36 of 40... 
[2020-06-29 07:25:36 s.ADDTREE] Hello,  

[2020-06-29 07:25:36 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:25:36 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1803 
              NPV  NA     
               F1  0.3056 
         Accuracy  0.1803 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:25:39 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:39 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:39 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:39 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:40 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.82; User: 4.29; System: 0.39) 
[2020-06-29 07:25:40 FUN] Running grid line #37 of 40... 
[2020-06-29 07:25:40 s.ADDTREE] Hello,  

[2020-06-29 07:25:40 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:25:40 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  51
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1774 
              NPV  NA     
               F1  0.3014 
         Accuracy  0.1774 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:25:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:43 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:43 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.71; User: 4.24; System: 0.36) 
[2020-06-29 07:25:43 FUN] Running grid line #38 of 40... 
[2020-06-29 07:25:43 s.ADDTREE] Hello,  

[2020-06-29 07:25:44 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 61 x 39 
    Training outcome: 61 x 1 
    Testing features: 7 x 39 
     Testing outcome: 7 x 1 

[2020-06-29 07:25:44 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  44
                0   0   6

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.1200 
Balanced Accuracy  0.5600 
              PPV  0.2000 
              NPV  1.0000 
               F1  0.3333 
         Accuracy  0.2787 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1429 
              NPV  NA     
               F1  0.2500 
         Accuracy  0.1429 

  Positive Class:  1 
[2020-06-29 07:25:47 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:47 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:47 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:47 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:47 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.59; User: 4.05; System: 0.37) 
[2020-06-29 07:25:47 FUN] Running grid line #39 of 40... 
[2020-06-29 07:25:47 s.ADDTREE] Hello,  

[2020-06-29 07:25:47 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 62 x 39 
    Training outcome: 62 x 1 
    Testing features: 6 x 39 
     Testing outcome: 6 x 1 

[2020-06-29 07:25:47 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  11  50
                0   0   1

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0196 
Balanced Accuracy  0.5098 
              PPV  0.1803 
              NPV  1.0000 
               F1  0.3056 
         Accuracy  0.1935 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  5
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 
[2020-06-29 07:25:50 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:50 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:50 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:51 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:51 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.73; User: 4.17; System: 0.25) 
[2020-06-29 07:25:51 FUN] Running grid line #40 of 40... 
[2020-06-29 07:25:51 s.ADDTREE] Hello,  

[2020-06-29 07:25:51 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 60 x 39 
    Training outcome: 60 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 07:25:51 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1  10  50
                0   0   0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.1667 
              NPV  NA     
               F1  0.2857 
         Accuracy  0.1667 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  2  6
                0  0  0

                   Overall  
      Sensitivity  1.0000 
      Specificity  0.0000 
Balanced Accuracy  0.5000 
              PPV  0.2500 
              NPV  NA     
               F1  0.4000 
         Accuracy  0.2500 

  Positive Class:  1 
[2020-06-29 07:25:54 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 07:25:54 s.ADDTREE] Converting paths to rules... 
[2020-06-29 07:25:54 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 07:25:55 s.ADDTREE] Pruning tree... 

[2020-06-29 07:25:55 s.ADDTREE] Run completed in 0.06 minutes (Real: 3.72; User: 4.33; System: 0.39) 


[[ elevate ADDTREE ]]
   N repeats = 1 
   N resamples = 10 
   Resampler = kfold 
   Balanced Accuracy of 10 aggregated test sets in each repeat = 0.86

[2020-06-29 07:26:00 elevate] Run completed in 59.88 minutes (Real: 3592.72; User: 5450.06; System: 237.42) 

saveRDS(cases.law.tree, "cases-law-tree.rds")

After running the models, we would now like to extract the respective information. This encompasses the values in the list below, which includes the aggregated values of the evaluation measures and the hyperparameters picked.

• Sensitivity (recall)
• Specificity
• Precision (positive predictive value)
• Negative predictive value
• Gamma \(\gamma\) (\(= \frac{\lambda}{1 + \lambda}\))

Extracting the evaluation measures:

Extracting the best hyperparameters:

cases.viol.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% select(gamma) %>% table()

.
0.1 0.5 0.9 
  5   4   1 

cases.force.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% select(gamma) %>% table()

.
0.1 0.5 0.9 
  3   3   4 

cases.op.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% select(gamma) %>% table()

.
0.1 0.5 0.9 
  1   3   6 

cases.law.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% select(gamma) %>% table()

.
0.1 0.5 0.9 
  1   7   2 

cases.viol.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% summarize(mean(gamma))

cases.force.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% summarize(mean(gamma))

cases.op.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% summarize(mean(gamma))

cases.law.tree$parameters$best.tune$elevate.ADDTREE.repeat1 %>% summarize(mean(gamma))

Experiments

cases_test.tree <- read_csv("cases_test.csv") %>% 
  preprocess(numeric2factor = TRUE) %>% 
  s.ADDTREE(outdir = "./test")

Parsed with column specification:
cols(
  .default = col_double()
)
See spec(...) for full column specifications.

[2020-06-29 03:01:48 preprocess] Converting numeric to factor 
[2020-06-29 03:01:48 preprocess] Done 

cannot open file 'C:\Users\Jonas\Documents\Studium\Bachelor's Thesis\ucf-thesis-analysis\test\%>%.20200629.030148.log': Invalid argumentError in file(file, if (append) "a" else "w") : 
  cannot open the connection

cases_test.tree <- s.ADDTREE(x = cases_test.train, x.test = cases_test.test, gamma = 2, learning.rate = 0.01)

[2020-06-29 02:27:37 s.ADDTREE] Hello,  

[2020-06-29 02:27:37 dataPrepare] Imbalanced classes: using Inverse Probability Weighting 

[[ Classification Input Summary ]]
   Training features: 69 x 39 
    Training outcome: 69 x 1 
    Testing features: 8 x 39 
     Testing outcome: 8 x 1 

[2020-06-29 02:27:38 s.ADDTREE] Training ADDTREE... 

[[ ADDTREE Classification Training Summary ]]
                   Reference 
        Estimated  1   0   
                1   2   0
                0  53  14

                   Overall  
      Sensitivity  0.0364 
      Specificity  1.0000 
Balanced Accuracy  0.5182 
              PPV  1.0000 
              NPV  0.2090 
               F1  0.0702 
         Accuracy  0.2319 

  Positive Class:  1 

[[ ADDTREE Classification Testing Summary ]]
                   Reference 
        Estimated  1  0  
                1  1  0
                0  5  2

                   Overall  
      Sensitivity  0.1667 
      Specificity  1.0000 
Balanced Accuracy  0.5833 
              PPV  1.0000 
              NPV  0.2857 
               F1  0.2857 
         Accuracy  0.3750 

  Positive Class:  1 
[2020-06-29 02:27:43 s.ADDTREE] Traversing tree by preorder... 
[2020-06-29 02:27:43 s.ADDTREE] Converting paths to rules... 
[2020-06-29 02:27:43 s.ADDTREE] Converting to data.tree object... 
[2020-06-29 02:27:43 s.ADDTREE] Pruning tree... 

[2020-06-29 02:27:44 s.ADDTREE] Run completed in 0.11 minutes (Real: 6.77; User: 6.53; System: 0.47)